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Artículos en revistas indexadas

2024 |2023 |2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 |

2024

  • 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.

  • 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”, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2024.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

  • 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.

  • 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.

  • 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.
  • 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.
  • 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.
  • Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel 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.
  • Jiabul Hoque, Saiful Islam, Jia Uddian, Abdus Samad, Beatriz Sainz de Abajo, Débora Libertad Ramírez Vargas, Imran Ashraf, “Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning”, IEEE Access, vol. 12, 2024.
  • Tajim Md. 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Imran Shafi, Sadia Din, Siddique Farooq, Isabel de la Torre Diez, 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.

  • 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, 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.

  • 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.

  • 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.

2023

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

  • 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.

  • 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.

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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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 UWB Radar-based Temporal and Spectral Features”, Diagnostics, 2023.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.
  • 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.
  • 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, 2023.

  • 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.

     

2022

  • 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.

  • 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.

  • 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
  • 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.
  • 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.
  • 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.

  • 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.

  • 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.

  • 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.

  • 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.
  • 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.
  • 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.

  • 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.

  • 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.

  • 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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

2021

  • 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.

  • 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.

  • 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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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  • Fatima Es Sabery, Abdellatif Hair, Junaid Qadir, Beatriz Sainz de Abajo, Begoña García Zapirain, Isabel de da Torre Díez, “Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier”, IEEE Access, 2021.
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  • 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.
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2020

  • 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.
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  • 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.
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  • 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.
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  • 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.
  • 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.
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  • Junaid Qadir, Beatriz Sainz-De-Abajo, Anwar Khan, Begoña García-Zapirain, Isabel De La Torre-Díez, Hasan Mahmood, “Towards Mobile Edge Computing: Taxonomy,Challenges, Applications and Future Realms”, IEEE Access, 2020.
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  • 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-Health, 2020.
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  • Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez, “Automated Medical Diagnosis of COVID-19 through EfficientNet Convolutional Neural Network”,  Applied Soft Computing, 2020.
  • 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.
  • Junaid Qadir, Ubaid Ullah, Beatriz Sainz de Abajo, Begona Garcia Zapirain, Goncalo Marques, Isabel de la Torre Diez, “Energy-Aware and Reliability Based Localization-Free Cooperative Acoustic Wireless Sensor Networks”, IEEE Access, 2020.
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  • 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, 2020.250px-US-NLM-PubMed-Logo.svg
  • 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.
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  • 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.
  • 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.
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  • 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.
  • 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, 2020.250px-US-NLM-PubMed-Logo.svg
  • 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, 2020.250px-US-NLM-PubMed-Logo.svg

2019

  • 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.
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  • 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, 2019.250px-US-NLM-PubMed-Logo.svg
  • 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, 2019.250px-US-NLM-PubMed-Logo.svg
  • Susel Góngora Alonso, Georgina Fumero Vargas, Lola Morón Nozaleda, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Manuel Franco, “Usability Analysis of a System for Cognitive Rehabilitation “Gradior” in a Spanish Region”, Telemedicine and eHealth Journal, 2019.250px-US-NLM-PubMed-Logo.svg
  • 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, 2019.250px-US-NLM-PubMed-Logo.svg
  • 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, 2019.250px-US-NLM-PubMed-Logo.svg
  • 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, 2019.250px-US-NLM-PubMed-Logo.svg

2018

  • Isabel de la Torre Díez, Susel Góngora Alonso, Sofiane Hamrioui, Eduardo Motta Cruz, Lola Morón Nozaleda, Manuel A. Franco Martín, “IoT-based Services and Applications for Mental Health in the Literature”, Journal of Medical Systems, 2018.250px-US-NLM-PubMed-Logo.svg
  • 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, 2018.250px-US-NLM-PubMed-Logo.svg
  • 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, 2018.250px-US-NLM-PubMed-Logo.svg
  • Susel Góngora Alonso, Sofiane Hamrioui, Isabel de la Torre Díez, Eduardo Motta Cruz, Miguel López-Coronado, Manuel A. Franco Martín, “Social Robots for People with Ageing and Dementia: A Systematic Review of Literature”, Telemedicine Journal and e-Health, 2018.250px-US-NLM-PubMed-Logo.svg
  • 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, 2018.250px-US-NLM-PubMed-Logo.svg
  • Manuel A. Franco-Martín, Juan Luis Muñoz-Sánchez, Beatriz Sainz-de-Abajo, Gema Castillo-Sánchez, Sofiane Hamrioui, Isabel de la Torre-Díez, “A Systematic Literature Review of Technologies for Suicidal Behavior Prevention”, Journal of Medical Systems, 2018.250px-US-NLM-PubMed-Logo.svg
  • 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, 2018.250px-US-NLM-PubMed-Logo.svg

2017

  • 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.
  • 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, 2017.250px-US-NLM-PubMed-Logo.svg
  • 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, pp. 183, 2017.250px-US-NLM-PubMed-Logo.svg
  • Isabel de la Torre Díez, Gema Castillo, Jon Arambarri, Miguel López-Coronado, Manuel A. Franco, “Mobile Apps for Suicide Prevention: Review in Virtual Stores and Literature”, JMIR mhealth and uhealth, vol. 5, pp. e130, 2017.250px-US-NLM-PubMed-Logo.svg
  • Begoña García-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, 2017.250px-US-NLM-PubMed-Logo.svg
  • 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, 2017.250px-US-NLM-PubMed-Logo.svg
  • Isabel de la Torre Díez, Begoña García Zapiraín, Miguel López-Coronado, Joel J. P. C. 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, 2017.250px-US-NLM-PubMed-Logo.svg
  • 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, 2017.250px-US-NLM-PubMed-Logo.svg
  • Isabel de la Torre Díez, Begoña García Zapiraín, Miguel López-Coronado, Joel J. P. C. Rodrigues, “Proposing Telecardiology services on cloud for different Medical Institutions: A model of Reference”, Telemedicine Journal and e-Health, vol. 23, nº. 8, 2017.250px-US-NLM-PubMed-Logo.svg

2016

  • 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, 2016.250px-US-NLM-PubMed-Logo.svg
  • 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, 2016.250px-US-NLM-PubMed-Logo.svg
  • 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, 2016.250px-US-NLM-PubMed-Logo.svg
  • 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. 250px-US-NLM-PubMed-Logo.svg
  • 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. 250px-US-NLM-PubMed-Logo.svg
  • 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, 2016. 250px-US-NLM-PubMed-Logo.svg
  • 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, 2016.250px-US-NLM-PubMed-Logo.svg

2015

  • 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, 2015.250px-US-NLM-PubMed-Logo.svg
  • 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, 2015.250px-US-NLM-PubMed-Logo.svg
  • 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, 2015.250px-US-NLM-PubMed-Logo.svg
  • 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/s10916-014-0181-3.250px-US-NLM-PubMed-Logo.svg
  • 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/s10916-014-0174-2.250px-US-NLM-PubMed-Logo.svg
  • 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, 2015.250px-US-NLM-PubMed-Logo.svg

2014

  • 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, 2014.250px-US-NLM-PubMed-Logo.svg
  • 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: 10.1177/1460458214525615.250px-US-NLM-PubMed-Logo.svg
  • 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, 2014.250px-US-NLM-PubMed-Logo.svg
  • 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.2779.250px-US-NLM-PubMed-Logo.svg
  • 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, 2014.250px-US-NLM-PubMed-Logo.svg

2013

  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg
  • 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, 2013.250px-US-NLM-PubMed-Logo.svg

2012

  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, vol. 36, nº. 5, pp. 3019-3027, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, 2012.250px-US-NLM-PubMed-Logo.svg
  • 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, vol. 36, nº. 2, pp. 915-924, 2012.250px-US-NLM-PubMed-Logo.svg

2011

  • 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, 2011.250px-US-NLM-PubMed-Logo.svg

2010

  • 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, 2010.250px-US-NLM-PubMed-Logo.svg