G. García-Sáez

发表

Automatic Blood Glucose Classification for Gestational Diabetes with Feature Selection: Decision Trees vs. Neural Networks

Gema García-Sáez, Mercedes Rigla, Enrique J. Gómez, 2014 .

Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System

José M. Alonso, Enrique J. Gómez, J. M. Alonso, 2009, AIME.

Prediction of Cocaine Inpatient Treatment Success Using Machine Learning on High-Dimensional Heterogeneous Data

Gema García-Sáez, Jose Tapia-Galisteo, Jose M. Iniesta, 2020, IEEE Access.

Assessment of a personalized and distributed patient guidance system

et al., Yuval Shahar, Tom H. F. Broens, 2017, Int. J. Medical Informatics.

MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains

Yuval Shahar, Mor Peleg, Silvana Quaglini, 2017, User Modeling and User-Adapted Interaction.

Automated Insulin Delivery: The Artificial Pancreas Technical Challenges.

E. Gómez, M. Hernando, Agustín Rodríguez-Herrero, 2020, American journal of therapeutics.

A web-based clinical decision support system for gestational diabetes: Automatic diet prescription and detection of insulin needs

Gema García-Sáez, M. Elena Hernando, Mercedes Rigla, 2017, Int. J. Medical Informatics.

A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care

M. Hernando, M. Kamusheva, G. Petrova, 2021, Frontiers in Endocrinology.

Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes

Tom H. F. Broens, M. Peleg, E. Gómez, 2014, Journal of diabetes science and technology.

PREDIRCAM eHealth Platform for Individualized Telemedical Assistance for Lifestyle Modification in the Treatment of Obesity, Diabetes, and Cardiometabolic Risk Prevention: A Pilot Study (PREDIRCAM 1 >

José M. Iniesta, E. Brugués, A. de Leiva, 2013, Journal of diabetes science and technology.

Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine

M. Rigla, M. Hernando, I. Capel, 2020, Diabetes Research and Clinical Practice.

Gestational Diabetes Management Using Smart Mobile Telemedicine

M. Rigla, M. Hernando, Gema García-Sáez, 2018, Journal of diabetes science and technology.

Long short-term memory neural network for glucose prediction

M. Hernando, C. Pérez-Gandía, R. Sendra-Arranz, 2020, Neural Computing and Applications.

Artificial Intelligence Methodologies and Their Application to Diabetes

Gema García-Sáez, Mercedes Rigla, Belén Pons, 2018, Journal of diabetes science and technology.

Linear Time-Varying Luenberger Observer Applied to Diabetes

Gema García-Sáez, Agustín Rodríguez-Herrero, Elena Hernando, 2018, IEEE Access.

Luenberger observer with nonlinear structure applied to diabetes type 1

Gema García-Sáez, Agustín Rodríguez-Herrero, Carlos Eduardo Castañeda Hernández, 2018, Int. J. Comb. Optim. Probl. Informatics.

Linear closed-loop control using Luenberger observer applied to insulin administration for type 1 diabetes

C. E. Castañeda, M. Hernando, Gema García-Sáez, 2017 .

Modelling and Formal Specification of a Multiagent Telemedicine System for Diabetes Care

Enrique J. Gómez, Lijun Shan, Hong Zhu, 2009, ICAART.

Architecture of a wireless Personal Assistant for telemedical diabetes care

Enrique J. Gómez, Gema García-Sáez, Iñaki Martínez-Sarriegui, 2009, Int. J. Medical Informatics.

The INCA System: A Further Step Towards a Telemedical Artificial Pancreas

Enrique J. Gómez, Oliver J. Bott, Dietrich Peter Pretschner, 2008, IEEE Transactions on Information Technology in Biomedicine.

Personalized hybrid artificial pancreas using unidirectional sliding-modes control algorithm

M. Hernando, Agustín Rodríguez-Herrero, C. Castañeda, 2022, Biocybernetics and Biomedical Engineering.

Automatic classification of glycaemia measurements to enhance data interpretation in an expert system for gestational diabetes

Gema García-Sáez, M. Elena Hernando, Mercedes Rigla, 2016, Expert Syst. Appl..

Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate

Enrique J. Gómez, Gema García-Sáez, Iñaki Martínez-Sarriegui, 2011, AIME.

Method to generate a large cohort in-silico for type 1 diabetes

Gema García-Sáez, Agustín Rodríguez-Herrero, M. Elena Hernando, 2020, Comput. Methods Programs Biomed..

Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetes.

M. Rigla, A. Caixàs, M. Hernando, 2014, Diabetes technology & therapeutics.

Artificial Pancreas Using a Personalized Rule-Based Controller Achieves Overnight Normoglycemia in Patients with Type 1 Diabetes

Fernando García-García, M Elena Hernando, Enrique J Gómez, 2013 .

Assessment of a personalized and distributed patient guidance system

Carlos Marcos Lagunar, Roxana Ioana Budasu, Adi Fux, 2017, Int. J. Medical Informatics.

Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor

Enrique J. Gómez, Gema García-Sáez, Agustín Rodríguez-Herrero, 2018, Journal of diabetes science and technology.