1. Muhammad Afzal, Madiha Amjad, Saleem Ullah, Rahman Shafique, Farhan Amin, Isabel de la Torre, Atenea Ruigómez Noriega, David García Obeso, “Optimized ensemble learning framework for neonatal asphyxia prediction using perinatal clinical features“, Frontiers in Public Health, 2026.
  2. Aneesh S Perumprath, K Martin Sagayam, Syed Immamul Ansarullah, Shafat Khan, Sami Alshmrany, Farhan Amin, Isabel De la Torre Díez, Mirtha Silvana Garat de Marin, Eduardo Silva Alvarado, “A Multilevel Deep Learning Model for Automated Brain Tumor Segmentation Using Magnetic Resonance Images”, Diagnostics, 2026.

 

  1. Asma Aldrees, Amr Yousef, Sana Shahab, Mohd Anjum, Isabel de la Torre Díez, Zaffar Ahmed Shaikh, “Agile context-aware interaction scheme for optimized resource management in human-interactive ubiquitous environments”, Discover Computing, 2026.

 

  1. Mubariz Khan, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza, Lázaro Javier Hernández Rodríguez, Pablo Herrero García,Isabel de la Torre Díez, “Cryptocurrency Market Trends: A Machine Learning-Driven Time Series Forecasting with Twitter Sentiment Integration”, Computers, Materials & Continua, 2026.

 

  1. Luis Corral Gudino, Isabel Herrero Montano, Isabel de la Torre Díez, José Pablo Miramontes González, “Integrating Generative Artificial Intelligence (AI) in Medical Education: A Framework for Preserving Clinical Reasoning”, Applied Sciences, 2025.

 

  1. Mubariz Khan, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza, Lázaro Javier Hernández Rodríguez, Pablo Herrero García, Isabel de la Torre Díez, “Cryptocurrency Market Trends: A Machine Learning-Driven Time Series Forecasting with Twitter Sentiment Integration”, Computers, Materials & Continua, 2026.

 

  1. Muhammad Shaban Qabil, Hafiza Zarafshan Mukhtiar, Ghulam Mustafa, Muhammad Tanvir Afzal, Isabel De la Torre Díez, Elizabeth Caro Montero, Mirtha Silvana Garat de Marin, “Predicting Academic Award Recognition Across Disciplines Using Publication-Based Bibliometric Indices and SHAP-Driven Explainability“, Information, 2026.

 

  1. Sidra Ishfaq, Muhammad Abdullah Khan, Ghulam Mustafa, Muhammad Tanvir Afzal, Isabel De la Torre Díez,Mirtha Silvana Garat de Marin, Eduardo Silva Alvarado, “Quantifying Domain-Specific Risk Signals in Lung Cancer Severity Prediction: A Multi-Domain Ablation Study Using XGBoost and SHAP”, Computation, 2026.

 

  1. Sheng Luo, Rashid Abbasi, Hao Wang, Jinghua Xu, Dongyang Lyu, Aaron Zhang, Farhan Amin, Isabel de la Torre, Gerardo Mendez Mezquita, Henry Fabian Gongora, “Robust Human Pose Estimation and Action Recognition Utilizing Feature Extraction”, Computer Modeling in Engineering & Sciences, vol. 146, 2026.

 

  1. Gunjan Shandilya, Sheifali Gupta, Abdul Khader Jilani Saudagar, Sunnia Ikram, Ateeq Ur Rehman, Isabel De La Torre Diez, Heba Gaber, Ramón Pali Casanova, Ángel Kuc Castilla and Upinder Kaur, “Enhanced Weather Classification Using Xception with SENet and Attention Mechanisms”, Frontiers in Environmental Science-Interdisciplinary Climate Studies, 2026.

 

  1. Sherine Jenny, N. Sugirtham, B. Thiyaneswaran, S. Kumarganesh, Martin Sagayam K., Syed Immamul Ansarullah, Farhan Amin, Isabel de la Torre Díez, Carlos Osorio García, Alina Eugenia Pascual Barrera, “Securing internet of things devices using a hybrid approach”, Scientific Reports, 2026.

 

  1. Telmo Miguel-Medina, Susel Góngora Alonso, Isabel de la Torre Díez, Miriam Blanco Sáez, Hector Lazaro Arrechea Elissalt, Atenea Rui Gómez Noriega, María Lourdes del Río Solá, “Development of a Machine Learning-Based Predictive Model and Clinically Oriented Web Application for 30-Day Mortality Following Cardiac Surgery”, Sensors, 2026.

 

  1. Muhammad Amjad Raza, Nasir Mehmood, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Roberto Marcelo Alvarez, Yini Airet Miró Vera, Isabel de la Torre Díez, “Human Activity Recognition in Domestic Settings Based on Optical Techniques and Ensemble Models», Sensors, 2026.

 

  1. Abdu Salam, Fahd M. Aldosari, Donia Y. Badawood, Farhan Amin, Isabel de la Torre, Gerardo Mendez Mezquita, Henry Fabian Gongora, “A Hybrid Vision Transformer with Attention Architecture for Efficient Lung Cancer Diagnosis“, Computers, Materials & Continua, vol. 87, 2026.

 

  1. Erol Kina, Jin-Ghoo Choi, Abid Ishaq, Rahman Shafique, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf, “Suicide Ideation Detection Using Social Media Data and Ensemble Machine Learning Model“, International Journal of Computational Intelligence Systems, 2026.

 

  1. Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Adil Ali Saleem, Josep Alemany-Iturriaga, Fernando Maniega Legarda, Isabel de la Torre Díez, “Advancing cricket biomechanics: Neural network based motion prediction for stroke analysis”, Array, vol. 29, 2026.

 

  1. Khaoula Chafik, Abdellah Ouaguid, Mohamed Hanine, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Díez, “Exploring the intersection of blockchain and e-health: A bibliometric analysis of recent research”, Blockchain: Research and Applications, 2025.

 

  1. Syeda Zahra Banoori, Wajidullah Khan, Shahid Rahman, Fahad Masood, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Cho, “An improved hybrid image steganography method using AES algorithm“, Scientific Reports, 2025.

 

  1. Erik Alonso, Raúl López-Izquierdo, Emma Bourke-Matas, Michael Eichinger, Carlos del Pozo Vegas, Bas de Groot, 0, Begoña Polonio-López, José Luis Martín-Conty, Ancor Sanz-García, Francisco Martín-Rodríguez, “Performance of a modified Sequential Organ Failure Assessment score in pre-hospital critical care to predict short-term mortality: a prospective, multicentre, validation cohort study”, eClinicalMedicine. vol. 90, 2025.

 

  1. Rol Kina, Ali Raza, Prudhvi Chowdary, Carmen Lili Rodriguez Velasco, Julien Brito Ballester, Isabel de la Torre Díez, Naveed Anwer Butt, Imran Ashraf, “Enhancing Detection of Epileptic Seizures using Transfer Learning and EEG Brain Activity Signals”, Computational and Structural Biotechnology Journal, 2025.

 

  1. Abdu Salam, Mohammad Abrar, Raja Waseem Anwer, Farhan Amin, Faizan Ullah, Isabel de la Torre, Gerardo Mendez Mezquita, Henry Fabian Gongora, “Channel-Attention DenseNet with Dilated Convolutions for MRI Brain Tumor Classification“, Computer Modeling in Engineering & Sciences, 2025.

 

  1. Sharobiddinov Dilshod, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Gerardo Mendez Mezquita, Debora Libertad Ramírez Vargas, Isabel de la Torre Díez, “Edge-Based Autonomous Fire and Smoke Detection Using MobileNetV2”, Sensors, 2025.

 

  1. Muhammad Khan, Farhan Amin, Minhaj Ud Din, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya, “Enhancing ecommerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models“, The Journal of Supercomputing, vol. 81, 2025.

 

  1. Roja 0Ghasemi, Naveed Islam, Samin Bayat, Muhammad Shabir, Shahid Rahman, Farhan Amin, Isabel de la Torre, Ángel Kuc Castilla, Debora Libertad Ramírez Vargas García, “Detection and classification of brain tumor using a hybrid learning model in CT scan images”, Scientific Reports, vol. 15, 2025.

 

  1. Isabel Herrera Montano, Susel Góngora Alonso, Soledad Sañudo García, José Javier García Aranda, Joel J.P.C. Rodrígues, Isabel de la Torre Díez, “Security practices and insider threats in Spanish healthcare centers: a survey-based risk assessment”, International Journal of Medical Informatics, 2025.

 

  1. Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Sandra Dudley, Julio César Martínez Espinosa, Luis Alonso Dzul López, Isabel de la Torre Díez, “Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence”, Array, 2025.

 

  1. Sunnia Ikram, Isabel De La Torre, Daler Ali, Thania Candelaria, Henry Fabian Gongora, Sajid Naveed, Harvinder Singh, Amna Ikram, “Transformer-Based ECG Classification for Early Detection of Cardiac Arrhythmias“, Frontiers in Medicine, 2025.

 

  1. Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Gracia Villar, Helena Garay, Isabel De La Torre, “A systematic review of deep learning methods for community detection in social networks”, Frontiers in Artificial Intelligence, section Machine Learning and Artificial Intelligence, 2025.

 

  1. Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya, “A parameter centric service discovery framework for social digital twins in smart City“, Scientific Reports, vol. 15. 2025.

 

  1. Brahim Jabir, Bendaoud Nadif, Isabel De la Torre Diez, Helena Garay, Irene Delgado Noya, “Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, 2025.

 

  1. Isabel Herrera Montano, Juan Ramos Diaz, Sergio Molina-Cardín, Juan José Guerrero López, José Javier García Aranda, Isabel de la Torre Díez, “SecureMD5: A new stream cipher for secure file systems and encryption key generation with artificial intelligence”, Computer Standards & Interfaces, 2025.

 

  1. Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala, “Enhanced schizophrenia detectionusing multichannel EEG and CAOA-RST-based feature selection“, Scientific Reports, 2025.

 

  1. Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi, “A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing“, Scientific Reports, 2025.

 

  1. Preethi, V. Govindaraj, S. Dhanasekar, K. Martin Sagayam, Syed Immamul Ansarullah, Farhan Amin, Isabel de la Torre Díez, Carlos Osorio García, Alina Eugenia Pascual Barrera, Fehaid Salem Alshammari, “Deep learning-assisted 3D model for the detection and classification of knee arthritis“, Image and Vision Computing, 2025.

 

  1. Sabir Shah, Nadeem Sarwar, Abdu Salam, Farhan Amin, Faizan Ullah, Asfandyar Khan, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, “A flexible and lightweight signcryption scheme for underwater wireless sensor networks”, Scientific Reports, 2025.

 

  1. Mónica Casas Domínguez, Isabel Herrena Montano, Juan José López Gómez, Beatriz Ramos Bachiller, Daniel Antonio de Luis Román, Isabel de la Torre Díez, “Predicting Weight Loss Su.ccess After Gastric Sleeve Surgery: A Machine Learning-based Approach”, Nutrients, 2025.

 

  1. Rosmeri Martínez Licort, Benjamín Sahelices, Isabel de la Torre, Jesús Vegas, “Machine Learning Methods for Predicting Syncope Severity in the Emergency Department: A Retrospective Analysis“, Health Science Reports, 2025.

 

  1. Sunnia Ikram, Imran Bajwa, Aamna Ikram, Isabel De la Torre Díez, Carlos Eduardo Uc Ríos, Dr. Ángel Kuc Castilla, “Obstacle Detection and Warning System for Visually Impaired using IoT Sensors”, IEEE Access, 2025.

 

  1. Nadim Sharif, Rubayet Opu, Afsana Khan, Tama Saha, Abdullah Masud, Jannatin Naim, Zaily Martinez, Carlos García, Meshari Alsuwat, Fuad Alzahrani, Khalid Alzahrani, Isabel de la Torre Díez, Shuvra Dey, “Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study”, Open Forum Infectious Diseases, 2025.

 

  1. Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf, “Novel transfer learning based bone fracture detection using radiographic images“, BMC Medical Imaging, 2025.

 

  1. Shahid Rahman, Jamal uddin, Hameed Hussain, Sabir Shah, Abdu Salam, Farhan Amin, Isabel de la Torre Díez, Debora Libertad Ramírez Vargas, Julio César Martínez Espinosa, “A Novel and Efficient Digital Image Steganography Technique Using Least Significant Bit Substitution”, Scientific Reports, 2025.

 

  1. Susel Góngora Alonso, Isabel Herrera Montano, Isabel De la Torre Díez, Manuel Franco-Martín, Mohammed Amoon, Jesús-Angel Román-Gallego, María-Luisa Pérez-Delgado, «Predictive Modeling of Hospital Readmission of Schizophrenic Patients in a Spanish Region Combining Particle Swarm Optimization and Machine Learning Algorithms», Biomimetics, 2024.

 

  1. Nadim Sharif, Rubayet Rayhan Opu, Tama Saha, Abdullah Ibna Masud, Md. Jannatin Naim, Khalaf F Alsharif, Khalid Alzahrani, Eduardo Silva Alvarado, Irene Delgado Noya, Isabel De La Torre Diez, Shuvra Dey, “Evolving epidemiology, clinical features and genotyping of dengue outbreaks in Bangladesh, 2000-2024: A systematic review”, Frontiers in Microbiology, section Virology, 2024.

 

  1. Beril Susan Philip, Daniel Andrei Iordan, Dan-Eugen Costin, Ilie Onu, Isabel de la Torre Diez, Girijesh Prasad, Jude Hemanth, “A Hybrid RNN-CNN based Motor Imagery Tasks Classification Approach using MEG Brain Signals for BCI Applications”, Broad Research in Artificial Intelligence and Neuroscience, 2024.

 

  1. Madiha Rehman, Humaira Anwer, Helena Garay, Josep Alemany Iturriaga, Isabel De la Torre Díez, Hafeez Ur Rehman Siddiqui, Saleem Ullah, “Decoding Brain Signals from Rapid Event EEG for Visual Analysis using Deep Learning”, Sensors, 2024.

 

  1. Hira Zaheer, Muhammad Shoaib, Faiza Iqbal, Shazia Arshad, Ayesha Altaf, Eduardo Garcia Villena, Isabel de la Torre Díez, Imran Ashraf, “An Energy-Efficient Technique to Secure Internet of Things Devices Using Blockchain”, Journal of Network and Systems Management, 2024.011111111

 

  1. Farhad Amin, Rashid Abbasi, Salabat Khan, Muhammad Ali Abid, Abdul Mateen, Isabel de la Torre, Angel Kuc Castilla, Eduardo García Villena, “Lastest advancements and prospects in the next-generation of Internet of Thing Technologies”, PeerJ Computer Science, 2024.

 

  1. Attique ur Rehman, Songfeng Lu, Muhammad Awais Ashraf, Muhammad Shahid Iqbal, Awais khan Nawabi, Farhan Amin​, Rashid Abbasi, Isabel de la Torre, Santos Gracia Villar, Luis Alonso Dzul Lopez, Md. Belal Bin Heyat, “The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses”, PeerJ Computer Science, 2024.

 

  1. Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Díez, MD Abdus Samad, Imran Ashraf, “A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities and Future Directions”, IEEE Access, 2024.

 

  1. Shahzad Hussain, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza, Josep Alemany Iturriaga, Alvaro Velarde-Sotres, Isabel De la Torre Díez, “Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment“, Sensors, 2024.

 

  1. Madiha Khalid, Ali Raza, Adnan Akhtar, Furqan Rustam, Julien Brito Ballester, Carmen Lili Rodríguez, Isabel de la Torre Díez, Imran Ashraf, “Diagnosing Epileptic Seizures Using Combined Features from Independent Components and Prediction Probability from EEG Data”, Digital Health, 2024.

 

  1. Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Emmanuel Soriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, María Asunción Vicente Ripoll, Imran Ashraf, “Ventilator Pressure Prediction Employing Voting Regressor with Time Series Data of Patient Breaths“, Health informatics Journal, 2024.

 

  1. Rosmeri Martínez Licort, Carlos de la Cruz León, Deevyankar Agarwal, Benjamín Sahelices, Isabel de la Torre, José Pablo Miramontes González, Mohammed Amoon, “Breast Carcinoma Prediction through Integration of Machine Learning Models”, IEEE Access, 2024.

 

  1. Abdu Salam, Faizan Ullah, Farhan Amin​, Izaz Ahmad Khan, Eduardo García Villena, Angel Kuc Castilla, Isabel de la Torre Díez, “Efficient prediction of anticancer peptides through deep learning“, PeerJ Computer Science, 2024.

 

  1. Muhammad Shehzad Aslam, Ayesha Altaf, Faiza Iqbal, Natasha Nigar, Juan Castanedo Galán, Daniel Gavilanes Aray, Isabel de la Torre Díez, Imran Ashraf, “Novel model to authenticate role-based medical users for blockchain-based IoMT devices”, Plos One, vol. 19, 2024.

 

  1. Gema Castillo Sánchez, José Miguel Toribio Guzmán, Sergio Celada Bernal, María Amelia Hernández, Isabel de la Torre Díez, Manuel A. Franco Martín, “A Digital Mental Health Approach for Supporting Suicide Prevention: A Qualitative Study”, International Journal of Mental Health and Addiction, 2024.

 

  1. Muhammad Mujahid, EROL Kina, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf, “Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering“, Journal of Big Data, vol. 11, 2024.

 

  1. Isabel Herrera Montano, Juan Ramos Diaz, José Javier García Aranda, Sergio Molina-Cardín, Juan José Guerrero López, Isabel de la Torre Díez, “Securecipher: An instantaneous synchronization stream encryption system for insider threat data leakage protection”, Expert Systems with Applications, vol. 254, 2024.

 

  1. Thinira Wanasinghe, Sakuni Bandara, Supun Madusanka, Dulani Meedeniya, Meelan Bandara, Isabel De La Torre Díez, “Lung Sound Classification for Respiratory Disease Identification Using Deep Learning: A Survey”, International Journal of Online and Biomedical Engineering, 2024.

 

  1. Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf, “Efficient deep learning-based approach for malaria detection using red blood cell smears“, Scientific Reports, 2024.

 

  1. Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabe l de la Torre Díez, Imran Asraf, Md Abdus Samad, “Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence”, IEEE Access, 2024.

 

  1. Hanane Rifqi, Isabel de la Torre Díez, Elizabeth Caro Montero, Eduardo Silva Alvarado, “The Interplay of Lean Six Sigma, Industry 4.0, and Dynamic Capabilities: Pathways to Sustainable Competitive Advantage in North African Context“, IEEE Access, 2024.

 

  1. Aom Perkash, Qaisar Shaheen, Robina Saleem, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf, “Feature optimization and machine learning for predicting students’ academic performance in higher education institutions“, Education and Information Technologies, 2024.

 

  1. Tajim M0d. Niamat Ullah Akhund, Zaffar Ahmed Shaik, Isabel de la Torre Díez, Manal Gafar, Deep H. Ajaban, Osama Alfarra, Amr Tolba, Henry Fabian-Gongora, Luis Alonso Dzaul López, “IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models”, IEEE Access, 2024.

 

  1. Ayesha Jabbar, Hannan Bin Liaqat, Aftab Akram, Muhammad Usman Sana, Irma Domínguez Azpíroz, Isabel de la Torre Díez, Imran Ashraf, “A Lesion-Based Diabetic Retinopathy Detection Through Hybrid Deep Learning Model”, IEEE Access, 2024.

 

  1. Rimsha Anam, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa, Isabel de la Torre Díez, Eduardo Silva Alvarado, Emmanuel Soriano Flores, Imran Ashraf, “A Deep Learning Approach for Named Entity Recognition in Urdu Language”, PloS One, 2024.

 

  1. Mudasir Ali, Mobeen Shahroz, Urooj Akram, Muhammad Faheem Mushtaq, Stefanía Carvajar Altamiranda, Silvia Aparicio Obregón, Isabel de la Torre Díez, Imran Ashraf, “Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model”, IEEE Access, 2024.

 

  1. Rubina Rashid, Waqar Aslam, Arif Mehmood, Debora Libertad Ramírez Vargas, Isabel de la Torre Díez, Imran Ashraf, “Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images”, IEEE Access, 2024.

 

  1. Sumbul Mehdi, Arshiya Sultana, Md Belal Bin Heyat, Faijan Akhtar, Saba Parveen, Khaleequr Rahman, Mercedes Briones Urbano, Vivian Lipari, Isabel de la Torre Díez, Azmat Ali Khan, Abdul Malik, “Efficacy and Classification of Sesamum indicum Linn Seeds with Rosa damascena Mill Oil in Uncomplicated Pelvic Inflammatory Disease Using Machine”, Frontiers in Chemistry-Medicinal and Pharmaceutical Chemistry, 2024.

 

  1. Thinira Wanasinghe, Sakuni Bandara, Supun Madusanka, Dulani Meedeniya, Meelan Bandara, Isabel de la Torre Díez, «Lung Sound Classification with Multi-Feature Integration Utilizing Lightweight CNN Model», IEEE Access, 2024.

 

  1. Imran Shafi, Sadia Din, Siddique Farooq, Isabel de la Torre Díez, José Manuel Breñosa, Julio César Martínez Espinosa, Imran Ashraf, “Design and Development of Patient Health Tracking, Monitoring and Big Data Storage using Internet of Things and Real Time Cloud Computing”, Plos One, 2024.

 

  1. Mohamed Joonus Aynul Fazmiya, Arshiya Sultana, Md Belal Bin Heyat, Saba Parveen, Khaleequr Rahman, Faijan Akhtar, Azmat Ali Khan, Amer Alanazi, Zaheer Ahmed, Isabel de la Torre Díez, Julién Brito Ballester, Tirumala Santhosh Kumar, “Efficacy of Formulation Prepared with Acacia arabica (Lam.) Willd. Gum and Cinnamomum camphora (L.) J. Presl. Vaginal Suppository in Heavy Menstrual Bleeding Analyzed with Machine Learning Technique”, Frontiers in Pharmacology, section Ethnopharmacology, 2024.

 

  1. Muhammad Usman, Muhammad Mujahid, Furqan Rustam, Emmanuel Soriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez​, Imran Ashraf​, “Analyzing patients satisfaction level for medical services using twitter data”, PeerJ Computer Science, vol. 10, 2024.

 

  1. Imran Ashraf, Khadija Aslam, Faiza Iqbal, Ayesha Altaf, Naveed Hussain, Mónica Gracia Villar, Enmanuel Soriano Flores, Isabel de la Torre Díez, “Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network”, IEEE Access, 2024.

 

  1. Sudheesh R, Muhammad Mujahid, Furqan Rustam, Bhargav Mallampati, Venkata Chunduri, Isabel de la Torre Díez, Imran Ashraf​, “Bidirectional encoder representations from transformers and deep learning model for analyzing smartphone-related tweets”, PeerJ Computer Science, 2023.

 

  1. Iffat Ara Talin, Mahmudul Hasan Abid, Md Abdus Samad, Irma Domínguez Azpíroz, Isabel de la Torre Díez, Imran Ashraf, Abdullah-Al Nahid, “Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model”, Scientific Reports, vol.13, 2023.

 

  1. Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md. Monirul Islam,
    Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, Isabelde la Torre Díez, Imran Ashraf, Md Abdus Samad, “Internet of Things in Pregnancy Care Co-ordination and Management: A Systematic Review”, Sensors, 2023.

 

  1. Syeda Reeha Quasar, Rishika Sharma, Aayushi Mittal, Moolchand Sharma, Deevyankar Agarwal, Isabel de La Torre Díez, «Ensemble methods for Computed Tomography scan images to Improve Lung Cancer Detection and Classification», Multimedia Tools and Applications, 2023.

 

  1. Aryan Bhatia, Moolchand Sharma, Suman Deswal, Deevyankar Agarwal, Isabel de La Torre Díez, «Improved Drug-Target Binding Affinity Prediction using optimized Differential Evolution algorithm and hybrid deep learning model», Expert Systems with Applications, 2023.

 

  1. Chaudhary Hamza Rashid, Imran Shafi, Jamil Ahmad, Ernesto Bautista Thompson, Manuel Masias Vergara, Isabel de la Torre Díez, Imran Ashraf, “Software Cost and Effort Estimation: Current Approaches and Future Trends”, IEEE Access, 2023.

 

  1. Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza,Santos Gracia Villar, Luis Alonso Dzul Lopez, Isabel de la Torre Diez, Furqan Rustam, Sandra Dudley, “Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence”, Diagnostics, 2023.

 

  1. Arooj Khan, Imran Shafi, Sajid Gul Khawaja, Isabel de la Torre Diez, Miguel Angel López Flores, Juan Castañedo Galván, Imran Ashraf, “Adaptive Filtering: Issues, Challenges and Best-fit Solutions Using Particle Swarm Optimization Variants”, Sensors, 2023.

 

  1. Samra Shahzadi, Naveed Anwer Butt, Muhammad Usman Sana, Isabel de la Torre Diez, Iñaki Elío, Mercedes Briones Urbano, Imran Ashraf, “Voxel Extraction and Multiclass Classification of Identified Brain Regions Across Various Stages of Alzheimer Disease”, Diagnostics, 2023.

 

  1. Sudheesh R, Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Venkata Chunduri, Mónica Gracia Villar, Julién Brito Ballester, Isabel de la Torre Diez, Imran Ashraf, “Analyzing Sentiments Regarding ChatGPT Using Novel BERT“, Information, 2023.

 

  1. Saad Mazhar Khan, Imran Shafi, Wasi Haider Butt, Isabel de la TorreDíez, Miguel Angel López Flores, Juan Castañedo Galvlán, Imran Ashraf, “Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support”, Land, 2023.

 

  1. Imran Shafi, Muhammad Sajad, Anum Fatima, Daniel Gavilanes Aray,Vivían Lipari, Isabel de la Torre Díez, Imran Ashraf, “Teeth Lesion Detection Using Deep Learning and Internet of Things in Post COVID-19 Era”, Sensors, 2023.

 

  1. Hafeez Ur Rehman Siddiqui, Faizan Younas, Furqan Rustam, Emmanuel
    Soriano Flores, Julién Brito Ballester, Isabel de la Torre Díez, SandraDudley, Imran Ashraf, “Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning“, Sensors, 2023.

 

  1. Saad Mazhar Khan, Imran Shafi, Wasi Haider But, Isabel de la Torre Diez, Miguel Angel López Flores, Juan Castanedo Galán, Imran Ashraf, “A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions”, Land 2023.

 

  1. Urooj Akram, Wareesa Sharif, Mobeen Shahroz, Muhammad Faheem Mushtaq, Daniel Gavilanes Aray, Ernesto Bautista Thompson, Isabelde la Torre Díez, Sirojiddin Djuraev, Imran Ashraf, “IoTTPS: Ensemble RKSVM Model Based Internet of Things Threat Protection System“, Sensors, 2023.

 

  1. Imran Shafi, Anum Fatima, Hammad Afzal, Isabel de la Torre Díez, Vivian Lipari, Jose Breñosa, Imran Ashraf, “A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health”, Diagnostics, 2023.

 

  1. V. Bibal Benifa, Channabasava Chola, Abdullah Y Muaad, Mohd Ammar
    Bin Hayat, Md Belal Bin Heyat, Rajat Mehrotra, Faijan Akhtar, Hany S.
    Hussein, Debora Libertad Ramirez Vargas, Ángel Kuc Castilla, Isabel de la
    Torre Díez, Salabat Khan, “An Efficient Intelligent System for Face Mask Detection Based on Lightweight FMDNet Model during COVID-19 Pandemic at Public Areas”, Sensors, 2023.

 

  1. Sana Farooq, Ayesha Altaf, Faiza Iqbal, Ernesto Bautista Thompson, Debora Libertad Ramirez Vargas, Isabel de la Torre Díez, Imran Ashraf, “Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms”, Sensors, 2023.

 

  1. Zeest Waris, Ayesha Altaf, Faiza Iqbal, Daniel Gavilanes Aray, Miguel Angel López Flores, Isabel de la Torre Díez, Imran Ashraf, “Blockchain Modeled Edge-Computing based Smart Home Monitoring System with Energy Usage Prediction “, Sensors, 2023.

 

  1. Imran Shafi, Harris Khan, Muhammad Siddique Farooq, Isabel de la Torre Diez, Yini Miró, Juan Castanedo Galán, Imran Ashraf, “An Artificial Neural Network-based Approach for Real-Time Hybrid Wind Solar Resource Assessment and Power Estimation”, Energies, 2023.

 

  1. Brahim Jabir, Isabel De la Torre Díez, Ernesto Francisco Bautista Thompson, Debora Libertad Ramírez Vargas, Ángel Kuc Castilla, “Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification”, IEEE Access, 2023.

 

  1. Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Isabel de la Torre Diez, Imran Ashraf, “Predicting Microbe Organisms Using Data of Living Micro Forms of Life and Hybrid Microbes Classifier”, PLOS One, 2023.

 

  1. Naveed Anwer Butt, Zafar Mahmood, Muhammad Usman Sana, Isabel de la
    Torre Díez, Juan Castanedo Galán, Santiago Brie, Imran Ashraf, “Behavioral And Performance Analysis of a Real-Time Case Study Event Log: A Process Mining Approach”, Applied Sciences, 2023.

 

  1. Deevyankar Agarwal, Manuel Álvaro Berbís, Antonio Luna, Vivian Lipari, Julien Brito Ballester, Isabel de la Torre-Díez, “Automated medical diagnosis of Alzheimer´s Disease using an Efficient Net Convolutional Neural Network“, Journal of Medical Systems, 2023.

 

  1. Hafeez Ur Rehman Siddiqui, Ali Raza, Adil Ali Saleem, Furqan Rustam, Isabel de la Torre Diez, Daniel Gavilanes Aray, Vivian Lipari, Imran Ashraf, “An Approach to Detect Chronic Obstructive Pulmonary Disease using UWBRadar-based Temporal and Spectral Features”, Diagnostics, 2023.

 

  1. Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Isabel de la Torre Díez, Begoña Garcia-Zapirain, Ernesto Lee, Imran Ashraf, «Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach», Genes, vol. 71, 2023.

 

  1. Jamal BAKKAS, Said Gounane, Abderrahman Chekry, Mohamed Hanine, Isabel de la Torre Díez, Vivian Lipari, Nohora Milena Martínez López, Imran Ashraf, “SARSMutOnto: An Ontology for SARS-CoV-2 Lineages and Mutations“, Viruses, 2023.

 

  1. Anum Fatima, Imran Shafi, Hammad Afzal, Khawar Mahmood, Isabel de la Torre Díez, Vivian Lipari, Julien Brito Ballester, Imran Ashraf, “Deep Learning Based Multiclass Instance Segmentation for Dental Lesion Detection”, Healthcare, 2023.

 

  1. Rahman Shafique, Furqan Rustam, Gyu Sang Choi, Isabel de la Torre
    Díez, Arif Mahmood, Vivian Lipari, Carmen Lili Rodríguez Velasco, Imran
    Ashraf, “Breast Cancer Prediction using Selective Fine Needle Aspiration
    Features and Upsampling with Supervised Machine Learning”, Cancers, 2023.

 

  1. Zaid Faheem, Abid Ishaq, Furqan Rustam, Isabel de la Torre Diez, Daniel Gavilanes, Manuel Masias Vergara, Imran Ashraf, “Image Watermarking Using Least Significant Bit and Canny Edge Detection”, Sensors, 2023.

 

  1. Ashok Vajravelu, K.S. Tamil Selvan, Muhammad Mahadi Bin Abdul Jamil, Anitha Jude, Isabel de la Torre Diez, “Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video”, Journal of Intelligent & Fuzzy Systems, vol. 44, 2023.

 

  1. Susel Góngora Alonso, Isabel Herrera Montano, Juan Luis Martín Ayala, Joel J. P. C. Rodrigues, Manuel Franco Martín, Isabel De la Torre Díez, “Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region”, International Journal of Mental Health and Addiction, 2023.

 

  1. Antonio Ferreras, Sandra Sumalla-Cano, Rosmeri Martínez-Licort, Iñaki Elío, Kilian Tutusaus, Thomas Prola, Juan Luis Vidal-Mazón, Benjamín Sahelices, Isabel de la Torre Díez, “Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight”, Journal of Medical Systems, 2022.

 

  1. Rishi Pal, Deepak Adhikari, Md Belal Bin Heyat, Bishal Guragai, Vivian Lipari, Julien Brito Ballester, Isabel De la Torre Díez, Zia Abbas, Dakun Lai, “A Novel Smart Belt for Anxiety Detection, classification, and Reduction Using IIoMT on Student’s Cardiac Signal“, Bioengineering, 2022.

 

  1. Isabel Herrera Montano, Elena Presencio Lafuente, Jose Breñosa Martínez, Arturo Ortega Mansilla, Isabel de la Torre Díez, María Lourdes Del Río-Solá, “Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery”, Journal of Medical Systems, 2022.

 

  1. Siddique Farooq, Imran Shafi, Harris Khan, Isabel de la Torre Díez, Jose Breñosa, Julio César Martínez Espinosa, Imran Ashraf, “IoT Enabled Intelligent Smart Stick for Visually Impaired People for Obstacle Recognition”, Sensors, 2022.

 

  1. Imran Shafi, Sadia Din, Asim Khan, Isabel de la Torre Díez, Ramón del Jesús Palí Casanova, Kilian Tutusaus Pifarre, Imran Ashraf, “An Effective Method for Lung Cancer Diagnosis From CT Scan Using Deep Learning-Based Support Vector Network”, Cancers, 2022.

 

  1. Furqan Rustam, Naila Aslam, Isabel de la Torre Díez, Yaser Daanial Khan, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf, “White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images”, Healthcare, 2022.

 

  1. Muhammad Farooq, Maryam Suhail, Junaid Qureshi, Furqan Rustam, Isabel de la Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf, “Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics”, Sensors, 2022.

 

  1. Arshiya Sultana, Md Belal Heyat, Radhika Kunnavil, Khaleequr Rahman, Mohamed Joonus Aynul Fazmiya, Faijan Akhtar, Sumbul ., Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Isabel de la Torre Díez, “A Systematic Review and Meta-Analysis for the Female related Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements”, Pharmaceuticals, 2022.

 

  1. Imran Shafi, Siddique Farooq, Isabel de la Torre Díez, Jose Breñosa, Julio César Martínez Espinosa, Imran Ashraf, «Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics», Healthcare, 2022.

 

  1. Anum Fatima, Imran Shafi, Hammad Afzal, Isabel de la Torre Díez, M Lourdes del Río-Solá, José Breñosa, Julio Cesar Martinez Espinosa, Imran Ashraf, “Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives”, Healthcare, 2022.

 

  1. Abid Ishaq, Furqan Rustam, Sayyida Tabinda Kokab, Isabel de la Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf, “A Lightweight ANN Model for Water Quality and Water Consumption Prediction”, Water, 2022.

 

  1. Isabel Herrera Montano, Javier Pérez Pacho, Santos Gracia Villar, Silvia Aparicio Obregon, José Breñosa, Isabel de la Torre Díez, “Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field”, Scientific Reports, 2022.

 

  1. Furqan Rustam, Imran Ashraf, Shehbaz Jabbar, Kilian Tutusaus, Cristina Mazas, Alina Eugenia Pascual Barrera, Isabel de la Torre Díez, “Prediction of β -Thalassemia Carriers using Complete Blood Count Features”, Scientific Reports, 2022.

 

  1. Rajeshkar Chaganti, Furqan Rustam, Talal Daghriri, Isabel de la Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf, “Building Heating and Cooling Load Prediction Using Ensemble Machine Learning”, Sensors, 2022.

 

  1. Hafeez Ur Rehman Siddiqui, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Furqan Rustam, Muhammad Amjad Raza, Sajjad Atta, Imran Ashraf, “Predicting Bankruptcy of Firms Using Earnings Call Data and Transfer Learning”, PeerJ, 2022. Accepted.

 

  1. Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Imran Bashir, Kainat Zafar, Furqan Rustam, Isabel de la Torre Díez, Sandra Dudley, Imran Ashraf, “Respiration Based COPD Detection Using UWB Radar Incorporation with Machine Learning“, Electronics, 2022.

 

  1. Wajdi Aljedaani, Eysha Saad, Furqan Rustam, Isabel de la Torre Díez, Imran Ashraf, “Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges and Future Trends”, Mathematics, 2022.

 

  1. Rajeshkar Chaganti, Furqan Rustam, Isabel de la Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf, “Thyroid Cancer Disease Prediction using Selective Feature Selection and Machine Learning Techniques”, Cancers, 2022.

 

  1. Ayaz Ahmad, Furqan Rustam, Eysha Saad, Muhammad Abubakar Siddique, Ernesto Lee, Arturo Ortega Mansilla, Isabel de la Torre Díez, Imran Ashraf, “Analyzing Preventive Precautions to Limit Spread of COVID-19“, PLoS One, 2022.

 

  1. Deevyankar Agarwal, M. Alvaro Berbis, Teodoro Martín-Noguerol, Antonio Luna, Sara Carmen Parrado Garcia, Isabel de la Torre-Díez, “End-to-End deep learning architectures using 3D Neuroimaging Biomarkers for early Alzheimer’s diagnosis“, Mathematics, 2022.

 

  1. Dulani Meedeniyaa, Hashara Kumarasinghea, Shammi Kolonnea, Chamodi Fernandoa, Isabel De la Torre Díez, Gonçalo Marques, “Chest X-ray Analysis Empowered with Deep Learning: A Systematic Review“, Applied Soft Computing, 2022.

 

  1. Gema Castillo, Mario Jojoa Acosta, Begoña García-Zapiraín, Isabel de la Torre, Manuel Franco-Martín, «Application of Machine Learning Techniques to Help in the Features Selection Related to Hospital Readmissions of Suicidal Behavior», International Journal of Mental Health and Addiction, 2022.

 

  1. Isabel Herrera Montano, José Javier García Aranda, Juan Ramos Diaz, Sergio Molina Cardín, Isabel de la Torre Díez, Joel J. P. C. Rodrigues, “Survey of Techniques on Data Leakage Protection and Methods to Address the Insider Threat”, Cluster Computing, 2022.

 

  1. Hina Fatima Shahzad, Furqan Rustam, Emmanuel Soriano Flores, Juan
    Luís Vidal Mazón, Isabel de la Torre Diez, Imran Ashraf, “A Review of Image Processing Techniques for Deepfakes”, Sensors, 2022.

 

  1. Muhammad Mujahid, Furqan Rustam, Roberto Álvarez, Juan Luís Vidal Mazón, Isabel de la Torre Diez, Imran Ashraf, “Detecting Pneumonia from X-Ray Images With Inception-V3 and Convolutional Neural Network”, Diagnostics, 2022.

 

  1. Nidal Drissi, Sofia Ouhbi, Mohamed Adel Serhani, Gonçalo Marques, Isabel de la Torre Díez, “Connected Mental Health Solutions: Global Attitudes, Preferences and Concerns”, Telemedicine and e-Health Journal, 2022.

 

  1. Susel Góngora Alonso, Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez, Manuel Franco-Martín, “Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia”, Sensors, 2022.

 

  1. Gonçalo Marques, Antonio Ferreras, Isabel de la Torre, “An Ensemble-based Approach for Automated Medical Diagnosis of Malaria using EfficientNet”, Multimedia Tools and Applications, 2022.

 

  1. Gema Castillo-Sánchez, Olga Sacristán-Martín, María A. Hernández, Irene Muñoz, Isabel de la Torre Díez, Manuel Franco-Martín, “Online Mindfulness Experience for Emotional Support to Healthcare staff in times of Covid-19”, Journal of Medical Systems, 2022.

 

  1. Deevyankar Agarwal, Gonçalo Marques, Isabel de la Torre Díez, Manuel A. Franco, Begoña García-Zapirain, Francisco Martín-Rodríguez, “Transfer Learning for Alzheimer’s disease through Neuroimaging Biomarkers: A Systematic Review”, Sensors, 2021.

 

  1. Gonçalo Marques, Rodrigo Gil, Manuel A. Franco, Isabel de la Torre, “Telemedicine Solutions for Patients with Mental Disorders: A Delphi Study and Review of Mobile Applications in Virtual Stores”, Informatics for Health and Social Care, 2021.

 

  1. Isabel Herrera Montano, Isabel de la Torre Díez, Raúl López-Izquierdo, Miguel A. Castro Villamor, Francisco Martín-Rodríguez, “Mobile Triage Applications: A Systematic Review in Literature and Play Store”, Journal of Medical Systems, 2021.

 

  1. Inés Robles Mendo, Gonçalo Marques, Isabel de la Torre Díez, Miguel López-Coronado, Francisco Martín-Rodríguez, “Machine learning in Medical Emergencies: A Systematic Review and Analysis”, Journal of Medical Systems, 2021.

 

  1. Mario Jojoa, Gema Castillo-Sánchez, Begonya Garcia-Zapirain, Isabel de la Torre Díez, Manuel Franco-Martín, “Sentiment Analysis Techniques Applied to Raw-Text Data from a CSQ-8 Questionnaire about Mindfulness in Times of Covid-19 to Improve Strategy Generation”, International Journal of Environmental Research and Public Health, 2021.

 

  1. Leslie María Contreras-Somoza, Eider Irazoki, José Miguel Toribio-Guzmán, Isabel de la Torre-Díez, Angie Alejandra Diaz-Baquero, Esther Parra-Vidales, María Victoria Perea-Bartolomé, Manuel Ángel Franco-Martín, “Usability and user experience (UX) of cognitive intervention technologies for elderly people with mild cognitive impairment (MCI) or dementia: A systematic review”, Frontiers in Psychology, vol. 2, pp. 1–15, 2021.

 

  1. Susel Góngora Alonso, Andrés de Bustos Molina, Beatriz Sainz de Abajo, Manuel Franco Martín, Isabel de la Torre Díez, “Analysis of Mental Health Disease Trends Using BeGraph Software in Spanish Health Care Centers: Case Study“, JMIR Medical Informatics, vol. 9, nº. 6, 2021.

 

  1. Fatima Es-Sabery, Khadija Es-Sabery, Junaid Qadir, Beatriz Sainz-De-Abajo, Abdellatif Hair, Begoña García-Zapirain, Isabel De La Torre-Díez, “A MapReduce Opinion Mining for COVID-19-Related tweets Classification Using Enhanced ID3 Decision Tree Classifier“, IEEE Access, 2021.

 

  1. Francisco Martín Rodríguez, Ancor Sanz García, Ana Alberdi Iglesias, Guillermo Ortega Rabbione, Carlos del Pozo Vegas, Isabel de la Torre Díez, Germán Fernández Bayón, Juan Francisco Delgado Benito, Marta Gómez Escolar Pérez, José Javier García Cortés, Raúl López Izquierdo, “Modelo de riesgo de mortalidad en pacientes con sospecha de enfermedad por COVID-19 basado en información del centro coordinador de urgencias”, Emergencias, 2021.

 

  1. Fatima Es Sabery, Abdellatif Hair, Junaid Qadir, Beatriz Sainz de Abajo, Begoña García Zapirain, Isabel de la Torre Díez, “Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier”, IEEE Access, 2021.

 

  1. Gonçalo Marques, Nidal Drissic, Isabel de la Torre Díez, Beatriz Sainz de Abajo, Sofia Ouhbic, “Impact of COVID-19 on the psychological health of university students in Spain and their attitudes toward Mobile mental health solutions”, International Journal of Medical Informatics, 2021.

 

  1. Beatriz Sainz de Abajo, José Manuel García-Alonso, José Javier Berrocal-Olmeda, Sergio Laso-Mangas, Isabel de la Torre Díez, “FoodScan: Food Monitoring App by Scanning the Groceries Receipts“, IEEE Access, 2020.

 

  1. Alejandro Plaza Roncero, Gonçalo Marques, Beatriz Sainz De Abajo, Francisco Martín Rodríguez, Carlos del Pozo Vegas, Begonya Garcia Zapirain, Isabel de la Torre Díez, “Mobile Health Apps for Medical Emergencies: Systematic Review”, JMIR mhealth and uhealth, 2020.

 

  1. Susel Góngora Alonso, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Manuel A. Franco Martín, “Health Care Management Models for the Evolution of Hospitalization in Acute Inpatient Psychiatry Units: Comparative Quantitative Study“, JMIR Mental Health, 2020.

 

  1. Gema Castillo, Gonçalo Marques, Enrique Dorronzoro, Octavio Rivera-Romero, Manuel A. Franco Martín, Isabel de la Torre Díez, “Suicide Risk Assessment using Machine Learning and Social Networks: A Scoping Review”, Journal of Medical Systems, 2020.

 

  1. Manuel A. Franco-Martín, Angie A. Diaz-Baquero, Yolanda Bueno-Aguado, María T. Cid-Bartolomé, Esther Parra Vidales, María V. Perea Bartolomé, Isabel de la Torre Díez, Henriëtte G. van der Roest, “Computer-based cognitive rehabilitation program GRADIOR for mild dementia and mild cognitive impairment: new features”, BMC Medical Informatics and Decision Making, 2020.

 

  1. Junaid Qadir, Beatriz Sainz de Abajo, Anwar Khan, Begoña García Zapiraín, Isabel de la Torre Díez, Hasan Mahmood, “Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms”, IEEE Access, 2020.

 

  1. Nidal Drissi, Sofia Ouhbi, Gonçalo Marques, Isabel de la Torre Díez, Mounir Ghogho, Mohammed Abdou, Janati Idrissi, “A Systematic Literature Review on e-Mental Health Solutionsto Assist Health Care Workers During COVID-19”, Telemedicine and e-HealthJournal, 2020.

 

  1. Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez, “Automated Medical Diagnosis of COVID-19 through EfficientNet Convolutional Neural Network”, Applied Soft Computing, 2020.

 

  1. Isabel Herrera Montano, Gonçalo Marques, Susel Góngora Alonso, Miguel López-Coronado, Isabel de la Torre Díez, “Predicting Absenteeism and Temporary Disability using Machine Learning: A Systematic Review and Analysis”, Journal of Medical Systems, 2020.

 

  1. Junaid Qadir, Ubaid Ullah, Beatriz Sainz de Abajo, Begoña García-Zapirain, Gonzalo Marques, Isabel de la Torre Díez, “Energy-Aware and Reliability-Based Localization-Free Cooperative Acoustic Wireless Sensor Networks”, IEEE Access, 2020.

 

  1. Ashok Yadav, Vinod Kumar Singh, Akash Kumar Bhoi, Goncalo Santos Marques, Maria Begona Garcia-Zapirain Soto, Isabel de la Torre Díez, “Wireless Body Area Networks: UWB Wearable Textile Antenna for Telemedicine and Mobile Health Systems”, Micromachines, 2020.

 

  1. Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Alaa S. Al-Waisy, Salama A. Mostafa, Shumoos Al-Fahdawi, Ahmed M. Dinar, Wajdi Alhakami, Abdullah Baz, Mohammed Nasser Al-Mhiqani, Hosam Alhakami, Nureize Arbaiy, Mashael S. Maashi, Ammar Awad Mutlag, Begonya Garcia-Zapirain, Isabel de la Torre Díez, “Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods”, IEEE Access, 2020.

 

  1. Belmar Mex Uc, Gema Castillo-Sánchez, Gonçalo Marques, Jon Arambarri, Isabel de la Torre Díez, “An Experience of Electronic Health Records Implementation in a Mexican Region”, Journal of Medical Systems, 2020.

 

  1. Ammar Mutlag, Mohd Khanapi, Mazin Abed Mohammed, Mashael Maashi, Othman Mohd, Salama Mostafa, Karrar Abdulkareem, Gonçalo Marques, Isabel de la Torre Díez, “MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management”, Sensors, 2020.

 

  1. Hassan Harb, Ali Mansour, Abbass Nasser, Eduardo Motta Cruz, Isabel de la Torre Díez, “A Sensor-Based Data Analytics for Patient Monitoring in Connected Healthcare Applications”, IEEE Sensors Journal, 2020.

 

  1. Francisco Rodriguez-Pulido, Gema Castillo, Sofiane Hamrioui, Laura Delgado Martin, Pilar Vazquez-Beltrán, Isabel de la Torre-Díez, Manuel A. Franco-Martín, “Treatment of Depression in Primary Care with Computerized Psychological Therapies: Systematic Reviews”, Journal of Medical Systems, 2020.

 

  1. Gonçalo Marques, Nuno Miranda, Akash Kumar Bhoi, Begonya Garcia-Zapirain Soto, Sofiane Hamrioui, Isabel de la Torre Díez, “Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality using Cyber-physical Systems and Mobile Computing Technologies“, Sensors, 2020.

 

  1. Susel Góngora Alonso, José Miguel Toribio Guzmán, Beatriz Sainz de Abajo, Juan Luis Muñoz Sánchez, Manuel Franco, Isabel de la Torre Díez, “Usability Evaluation of the eHealth Long Lasting Memories Program in Spanish Elderly People”, Health Informatics Journal, 2019.

 

  1. Gema Castillo Sánchez, Ismael Camargo-Henríquez, Juan Luis Muñoz-Sánchez, Manuel A. Franco Martín, Isabel de la Torre Díez, “Suicide Prevention Mobile Applications: Descriptive Analysis in the Most Popular Virtual Stores”, JMIR mhealth and uhealth, 2019.

 

  1. Isabel de la Torre Díez, Susel Góngora Alonso, Eduardo Motta Cruz, Manuel A. Franco Martín, «Measuring QoE of a Teleconsultation App in Mental Health using a Pentagram Model», Journal of Medical Systems, 2019.

 

  1. Susel Góngora Alonso, Georgina Fumero Vargas, Lola Morón Nozaleda, Beatriz Sainz de Abajo, Isabel de la Torre Díez,Manuel A. Franco, “Usability Analysis of a System for Cognitive Rehabilitation “Gradior” in a Spanish Region”, Telemedicine and eHealth Journal, 2019.

 

  1. Susel Góngora Alonso, Isabel de la Torre Díez, Begoña Garcia-Zapirain, “Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature”, Journal of Medical Systems, 2019.

 

  1. Javier Salvador García, Susel Góngora Alonso, Isabel de la Torre Díez, Begoña Garcia-Zapirain, Cristiane Castillo, Miguel López Coronado, Javier Cabo Salvador, “Reviewing Mobile Apps To Control Heart Rate in Literature and Virtual Stores”, Journal of Medical Systems, 2019.

 

  1. Susel Góngora Alonso, Jon Arambarri, Miguel López-Coronado, Isabel de la Torre Díez, “Proposing New Blockchain Challenges in eHealth”, Journal of Medical Systems, vol. 43, 2019.

 

  1. Isabel de la Torre Díez, Susel Góngora Alonso, Sofiane Hamrioui, Eduardo Motta Cruz, Lola Morón Nozaleda, Manuel A. Franco, “IoT-based Services and Applications for Mental Health in the Literature”, Journal of Medical Systems, vol. 43, nº. 1, 2018.

 

  1. Isabel de la Torre Díez, Susel Góngora Alonso, Sofiane Hamrioui, Miguel López-Coronado, Eduardo Motta Cruz, “Systematic Review about QoS and QoE in Telemedicine and eHealth Services and Applications”, Journal of Medical Systems, 2018.

 

  1. Susel Góngora Alonso, Isabel de la Torre Díez, Sofiane Hamrioui, Miguel López-Coronado, Diego Calvo Barreno, Lola Morón Nozaleda, Manuel Franco, “Data Mining Algorithms and Techniques in Mental Health: A Systematic Review”, Journal of Medical Systems, 2018.

 

  1. Susel Góngora Alonso, Sofiane Hamrioui, Isabel de la Torre, Eduardo Motta Cruz, Miguel López-Coronado, Manuel A. Franco Martín, “Social Robots for People with Ageing and Dementia: A Systematic Review of Literature”, Telemedicine and eHealth Journal, 2018.

 

  1. Elena López de Dicastillo, Begonya García-Zapirain, María Teresa Axpe Fernández, Isabel de la Torre Díez, Ibon Oleagordia, Antonio Apezetxea Celaya, “Development and Evaluation of a Telematics Platform for Monitoring of Patients in Ambulatory Major Surgery”, Telemedicine Journal and e-Health, 2018.

 

  1. Manuel A. Franco-Martín, Juan Luis Muñoz-Sánchez, Beatriz Sainz-de-Abajo2 Gema Castillo-Sánchez, Sofiane Hamrioui, Isabel de la Torre-Díez, “A Systematic Literature Review of Technologies for Suicidal Behavior Prevention”, Journal of Medical Systems, 2018.

 

  1. Francisco José García Paramio, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Manuel Pérez, Camino Fernández, Miguel López-Coronado, Joel Rodrigues, “Implications of the Regulation in the Implantation Process of Next Generation Networks in Spain: Analysis in Rural vs. Urban Regions”, Telecommunication Systems, 2018.

 

  1. David Blázquez Martín, Isabel de la Torre, Begonya Garcia-Zapirain, Miguel López-Coronado, Joel Rodrigues, “Managing and Controlling Stress Using mHealth: Systematic Search in App Stores”, JMIR Mhealth and Uhealth, vol. 6, nº 5,  2018.

 

  1. Sofiane Hamrioui, Isabel de la Torre, Begoña García Zapirain, Kashif Saleem, Joel J. P. C. Rodrigues, “A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals», Wireless Communications and Mobile Computing, 2017.

 

  1. Leire Moreno-Alsasua, Begonya Garcia-Zapirain, J. David Rodrigo-Carbonero, Ibon Oleagordia Ruiz, Sofiane Hamrioui, Isabel de la Torre Díez, “Primary Prevention of Asymptomatic Cardiovascular Disease Using Physiological Sensors Connected to an iOS App”, Journal of Medical Systems, vol. 41, pp. 191, 2017.

 

  1. Susel Góngora Alonso, Isabel de la Torre Díez, Joel Rodrigues, Sofiane Hamrioui, Miguel López-Coronado, «A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector», Journal of Medical Systems, vol. 41, nº. 11, pp. 183, 2017.

 

  1. Isabel de la Torre Díez, Gema Castillo, Jon Arambarri, Miguel López-Coronado, Manuel A. Franco, “Mobile Apps for Suicide Prevention: Review of Virtual Stores and Literature”, JMIR mhealth and uhealth, vol. 5, pp. e130, 2017.

 

  1. Begoña Garcia-Zapirain, Isabel de la Torre-Díez, Miguel López-Coronado, “Dual System for Enhancing Cognitive Abilities of Children with ADHD using Leap Motion and Eye-tracking technologies”, Journal of Medical Systems, vol. 41, pp. 111, 2017.

 

  1. Gema Castillo, Aranzazu Berbey-Alvárez, Isabel de la Torre Díez, Miguel López-Coronado, “Information and Communications Technologies Health Projects in Panama: A Systematic Review and Their Relation with Public Policies”, Journal of Medical Systems, vol. 41, pp. 110, 2017.

 

  1. Isabel de la Torre-Díez, Begoña Garcia-Zapirain, Miguel López-Coronado, Joel Rodrigues, Carlos del Pozo, “A New mHealth App for Monitoring and Awareness of Healthy Eating: Development and User Evaluation by Spanish Users”, Journal of Medical Systems, vol. 41, pp. 109, 2017.

 

  1. Marta Manovel López, Miguel Maldonado López, Isabel de la Torre Díez, José Carlos Pastor Jimeno, Miguel López-Coronado, “mHealth App for iOS to Help in Diagnostic Decision in Ophthalmology to Primary Care Physicians”, Journal of Medical Systems, vol. 41, pp. 81, 2017.

 

  1. Isabel de la Torre-Díez, Begoña Garcia-Zapirain, Miguel López-Coronado, Joel Rodrigues, “Proposing Telecardiology Services on Cloud for different Medical Institutions: A model of Reference”, Telemedicine Journal and e-Health, vol. 23, nº. 8, 2017.

 

  1. Isabel de la Torre Díez, Héctor Merino Cosgaya, Begoña Garcia-Zapirain, Miguel López-Coronado, “Big Data in Health: A Literature Review from the Year 2005”, Journal of Medical Systems, vol. 40, nº. 9, 2016.

 

  1. Isabel de la Torre Díez, Begoña Garcia-Zapirain, Amaia Mendez-Zorrilla, Miguel López-Coronado, “Monitoring and Follow-up of Chronic Heart Failure: A Literature Review of eHealth Applications and Systems“, Journal of Medical Systems, vol. 40, nº. 7, 2016.

 

  1. Valentín González de Garibay, Miguel A. Fernández, Isabel de la Torre-Díez, Miguel López-Coronado, “Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas“, Journal of Medical Systems, vol. 40, nº. 8, 2016.

 

  1. Francisco José García Paramio, Isabel de la Torre Díez, Beatriz Sainz de Abajo, Miguel López-Coronado, Joel J.P.C. Rodrigues, “How does the Spanish regulation of NGN affect to final users? Effects on the deployment of new FTTH infrastructures“, Telecommunications Systems, vol. 64, nº. 2, 391-415, 2017.

 

  1. Enrique Pérez Morera, Isabel de la Torre Díez, Begoña García-Zapiraín, Miguel López-Coronado, Jon Arambarri, “Security Recommendations for mHealth Apps: Elaboration of a Developer’s Guide”, Journal of Medical Systems, vol. 40, nº. 6, 152, 2016.

 

  1. Marta Manovel López,  Miguel Maldonado López, Isabel de la Torre Díez, José Carlos Pastor Jimeno, Miguel López-Coronado, “A Mobile Decision Support System for Red Eye Diseases Diagnosis: Experience with Medical Students”, Journal of Medical Systems, vol. 40, nº. 6, 151, 2016.

 

  1. Begoña Garcia-Zapirain, Isabel de la Torre-Díez, Beatriz Sainz de Abajo, Miguel López-Coronado, “Development, Technical and User Evaluation of a Web-Mobile Application for Self-Control of Diabetes”, Telemedicine Journal and e-Health, vol. 22, nº. 9, pp. 778-785, 2016.

 

  1. Rodrigo Méndez-Sanz, Isabel de la Torre-Díez, Miguel López-Coronado, “What is your Risk of Contracting Alzheimer’s Disease? A Telematics Tool Helps you to Predict it”, Journal of Medical Systems, vol. 40, nº. 1, 2016.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, “Experiences and Results of Applying Tools for Assessing the Quality of a mHealth App Named Heartkeeper”, Journal of Medical Systems, vol. 39, 2015.

 

  1. Bruno Silva, Joel J. P. C. Rodrigues, Isabel de la Torre, Miguel López-Coronado, Kashif Saleem, “Mobile-Health: A Review of Current State in 2015”, Journal of Biomedical Informatics, vol. 56, pp. 265-272, 2015.

 

  1. Isabel de la Torre Díez, Miguel López-Coronado, Begonya Garcia-Zapirain, Amaia Mendez-Zorrilla, “Secure Cloud-based Solutions for different E-health Services in Spanish Rural Health Centres”, Journal of Medical Internet Research, vol. 17, nº. 7, 2015.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, “Privacy and Security in Mobile Health Apps: A Review and Recommendations”, Journal of Medical Systems, vol. 39, nº. 1, pp. 181, 2015. doi: 10.1007/s10916-014-0181-3.

 

  1. Isabel de la Torre-Díez, Borja Martínez-Pérez, Miguel López-Coronado, Javier Rodríguez Díaz, Miguel Maldonado López, “Decision Support Systems and Applications in Ophthalmology: Literature and Commercial Review Focused on Mobile Apps”, Journal of Medical Systems, vol. 39, nº. 1, pp. 174, 2015. doi: 10.1007/s10916-014-0174-2.

 

  1. Isabel de la Torre-Díez, Miguel López-Coronado, Cesar Vaca, Jesús Sáez Aguado, Carlos de Castro, “Cost-Utility and Cost-effectiveness Studies of Telemedicine, Electronic and Mobile Health Systems in the Literature: A Systematic Review”, Telemedicine Journal and e-Health, vol. 21, nº. 2, pp. 81-85, 2015.

 

  1. José Antonio Cano Martín, Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, “Economic Impact Assessment from the Use of a Mobile App for the Self-management of Heart Diseases by Patients with Heart Failure in a Spanish Region”, Journal of Medical Systems, vol. 38, nº. 9, pp. 96, 2014.

 

  1. Borja Martínez-Pérez, Isabel De La Torre-Díez, Beatriz Bargiela-Flórez, Miguel López-Coronado, Joel Rodrigues, “Content Analysis of Neurodegenerative and Mental Diseases Social Groups”, Health Informatics Journal, 2014. doi: 10.1177/1460458214525615.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, Beatriz Sainz de Abajo, Montserrat Robles, Juan Miguel García-Gómez, “Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review“, Journal of Medical Systems, vol. 38, nº. 1, pp. 4, 2014.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, Beatriz Sainz de Abajo, “Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review on Literature and Apps Stores”, Journal of Medical Internet Research mHealth and uHealth, vol. 2, nº. 1, e1, 2014. doi: 10.2196/mhealth.2779.

 

  1. Juan Miguel García-Gómez, Isabel de la Torre-Díez, Javier Vicente, Montserrat Robles, Miguel López-Coronado, Joel Rodrigues, “Analysis of mobile health applications for a broad spectrum of consumers: a user experience approach”, Health Informatics Journal, vol. 20, nº. 1, pp. 74-84, 2014.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Sonia Candelas-Plasencia, Miguel López-Coronado, “Development and evaluation of tools for measuring the Quality of Experience (QoE) in mHealth applications”, Journal of Medical Systems, vol. 37, nº. 5, pp. 9976, 2013.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, Jesús Herreros-González, “Mobile Apps in Cardiology: Review”, Journal of Medical Internet Research mHealth and uHealth, vol.1, nº. 2, e15, 2013.

 

  1. Joel Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado, “Analysis of the Security and Privacy Requirements of Cloud-Based EHR Systems”, Journal of Medical Internet Research, vol. 15, nº. 8, e186, 2013.

 

  1. Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado, “Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis”, Journal of Medical Internet Research, vol. 15, nº. 6, e120, 2013.

 

  1. Joel J. P. C. Rodrigues, Luís M. C. C. Pedro, Tomé Vardasca, Isabel de la Torre-Díez, Henrique M. G. Martins, “Mobile Health Platform for Pressure Ulcer Monitoring with EHR Integration”, Health Informatics Journal, vol. 19, nº. 4, pp. 300-311, 2013.

 

  1. Isabel de la Torre, Sandra González, Miguel López-Coronado, “EHR systems in the Spanish Public Health National System: The Lack of Interoperability between Primary and Specialty Care”, Journal of Medical Systems, vol. 37, nº. 1, pp. 9914, 2013.

 

  1. Isabel de la Torre-Díez, Saúl Álvaro-Muñoz, Miguel López-Coronado, Joel Rodrigues, “Development and performance evaluation of a new RSS tool for a Web-based system: RSS_PROYECT”, Journal of Network and Computer Applications, vol. 36, nº. 1, pp. 255-261, 2013.

 

  1. Mario Barreda-Pérez, Isabel de la Torre, Miguel López-Coronado, Joel J. P. C. Rodrigues, Teresa García de la Iglesia, “Development and evaluation of a Web-based tool to estimate type 2 diabetes risk: Diab_Alert“, Telemedicine Journal and e-Health, vol. 19, nº. 2, pp. 81-87, 2013.

 

  1. Joel J. P. C. Rodrigues, Ivo M. C. Lopes, Bruno M. C. Silva, Isabel de la Torre, “A New Mobile Ubiquitous Computing Application to Control Obesity: SapoFit”, Informatics for Health and Social Care, vol. 38, nº. 1, pp. 37-53, 2013.

 

  1. Tiago M. C. Simões, Joel J.P.C. Rodrigues and Isabel de la Torre, “Personal Learning Environment Box (PLEBOX): A New Approach to Enhance E-Learning Platforms“, Computer Applications in Engineering Education, vol. 21, nº. S1, pp. 100-109, 2013.

 

  1. Isabel de la Torre, Míriam Antón, Francisco Javier Díaz, Freddy-José Perozo, “Comparison of response times of a mobile-Web EHRs system using PHP and JSP languages”, Journal of Medical Systems, vol. 36, nº. 6, pp. 3945-3953, 2012.

 

  1. Gonzalo Fernández-Cardeñosa, Isabel de la Torre-Díez, Miguel López-Coronado, Joel J. P. C. Rodrigues, “Analysis of cloud-based solutions on EHRs systems in different scenarios”, Journal of Medical Systems, vol. 36, nº. 6, pp. 3777-3782, 2012.

 

  1. Isabel de la Torre-Díez, Miguel López-Coronado, Joel J. P. C. Rodrigues, “How to measure the QoS of a Web-based EHRs system: Development of an instrument”, Journal of Medical Systems, vol. 36, nº. 6, pp. 3725-3731, 2012.

 

  1. Isabel de la Torre, Sandra González, Miguel López-Coronado, “Analysis of the EHR Systems in Spanish Primary Public Health System: The Lack of Interoperability“, Journal of Medical Systems, vol. 36, nº. 5, pp. 3273-3281, 2012.

 

  1. Isabel de la Torre, Francisco Javier Díaz, Míriam Antón, “A content analysis of chronic diseases social groups on Facebook and Twitter”, Telemedicine Journal and e-Health, vol. 18, nº. 6, pp. 404-408, 2012.

 

  1. Antonio Tejero, Isabel de la Torre, “Advances and current state of the security and privacy in Electronic Health Records: Survey from a social perspective”, Journal of Medical Systems, 36, nº. 5, pp. 3019-3027, 2012.

 

  1. Isabel de la Torre, Francisco Javier Díaz, Míriam Antón, Esteban Barragán, Joel Rodrigues and Celina Pires, “A Telematic Tool to predict the risk of colorectal cancer in White men and women: ColoRectal Cancer Alert (CRCA)”, Journal of Medical Systems, vol. 36, nº. 4, pp. 2557-2564, 2012.

 

  1. Joel J. P. C. Rodrigues, Nuno Reis, José A. F. Moutinho and Isabel de la Torre,“Breast Alert: an On-line Tool for Predicting the Lifetime Risk of Women Breast Cancer”, Journal of Medical Systems, vol. 36, nº. 3, pp. 1417-1424, 2012.

 

  1. Isabel de la Torre, Francisco Javier Díaz, Míriam Antón, Miguel López, Roberto Hornero, María Isabel López, Mario Martínez, Daniel Boto and Fernando José Díez, “Performance evaluation of a Web-based system to exchange Electronic Health Records using queueing model (M/M/1)”, Journal of Medical Systems, 36, nº. 2, pp. 915-924, 2012.

 

  1. Isabel de la Torre, Francisco Javier Díaz, Míriam Antón, José Fernando Díez, Beatriz Sainz, Miguel López, Roberto Hornero and María Isabel López, “Choosing the most efficient database for a Web-based system to store and exchange Ophthalmologic Health Records”, Journal of Medical Systems, vol. 35, nº. 6, pp. 1455-1464, 2011.

 

  1. Mario Martínez, Francisco Javier Díaz, Míriam Antón, José Fernando Díez, David González, Daniel Boto, Fernando López and Isabel de la Torre, “Multi-scale Neural Texture Classification using the GPU as a Stream Processing Engine”, Machine Vision and Applications, 22, nº. 6, pp. 947-966, 2011.

 

  1. Eysenbach G, CONSORT-EHEALTH Group (author 17: Isabel de la Torre), “CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions”, Journal of Medical Internet Research vol. 13, nº 4, pp. 0e126, 2011.

 

  1. Daniel Boto, Javier Díaz, David González, José Fernando Díez, Míriam Antón, Mario Martinez and Isabel de la Torre, “Wavelet-Based Denoising for Traffic Volume Time Series Forecasting with Self-Organizing Neural Networks“, Computer-Aided Civil and Infrastructure Engineering, vol. 25, nº 7, pp. 530-545, 2010.

 

  1. João Caldeira, Joel Rodrigues, João Garcia and Isabel de la Torre, “A New Wireless Biosensor for Intra-Vaginal Temperature Monitoring”, Sensors, vol. 10, nº. 11, pp. 10314-10327, 2010.