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Sensors (Basel, Switzerland)
|
November 13, 2021
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Félix Tena, Oscar Garnica, Juan Lanchares, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 1, 2023
An LSTM-based Neural Network Wearable System for Blood Glucose Prediction in People with Diabetes
Felix Tena, Oscar Garnica, Juan Lanchares Davila, et al.
The EPMA Journal
|
September 6, 2021
Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers
Oscar Garnica, Diego Gómez, Víctor Ramos, et al.
Scientific Reports
|
June 1, 2024
Explainable hypoglycemia prediction models through dynamic structured grammatical evolution
Marina De La Cruz, Oscar Garnica, Carlos Cervigon, et al.
Frontiers in Endocrinology
|
March 10, 2023
Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes
Marta Botella-Serrano, Jose Manuel Velasco, Almudena Sánchez-Sánchez, et al.
Data in Brief
|
July 1, 2024
HUPA-UCM diabetes dataset
J Ignacio Hidalgo, Jorge Alvarado, Marta Botella, et al.
Journal of Medical Systems
|
August 10, 2017
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
J Ignacio Hidalgo, J Manuel Colmenar, Gabriel Kronberger, et al.
Endocrinologia, Diabetes Y Nutricion
|
May 30, 2020
Identification of blood glucose patterns in patients with type1 diabetes using continuous glucose monitoring and clustering techniques
Sergio Contador Pachón, Marta Botella Serrano, Oscar Garnica Alcázar, et al.
Endocrinologia, Diabetes Y Nutricion
|
June 25, 2021
Identification of blood glucose patterns in patients with type 1 diabetes using continuous glucose monitoring and clustering technique
Sergio Contador Pachón, Marta Botella Serrano, Oscar Garnica Alcázar, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
November 13, 2021
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Félix Tena, Oscar Garnica, Juan Lanchares, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 1, 2023
An LSTM-based Neural Network Wearable System for Blood Glucose Prediction in People with Diabetes
Felix Tena, Oscar Garnica, Juan Lanchares Davila, et al.
The EPMA Journal
|
September 6, 2021
Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers
Oscar Garnica, Diego Gómez, Víctor Ramos, et al.
Scientific Reports
|
June 1, 2024
Explainable hypoglycemia prediction models through dynamic structured grammatical evolution
Marina De La Cruz, Oscar Garnica, Carlos Cervigon, et al.
Frontiers in Endocrinology
|
March 10, 2023
Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes
Marta Botella-Serrano, Jose Manuel Velasco, Almudena Sánchez-Sánchez, et al.
Data in Brief
|
July 1, 2024
HUPA-UCM diabetes dataset
J Ignacio Hidalgo, Jorge Alvarado, Marta Botella, et al.
Journal of Medical Systems
|
August 10, 2017
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
J Ignacio Hidalgo, J Manuel Colmenar, Gabriel Kronberger, et al.
Endocrinologia, Diabetes Y Nutricion
|
May 30, 2020
Identification of blood glucose patterns in patients with type1 diabetes using continuous glucose monitoring and clustering techniques
Sergio Contador Pachón, Marta Botella Serrano, Oscar Garnica Alcázar, et al.
Endocrinologia, Diabetes Y Nutricion
|
June 25, 2021
Identification of blood glucose patterns in patients with type 1 diabetes using continuous glucose monitoring and clustering technique
Sergio Contador Pachón, Marta Botella Serrano, Oscar Garnica Alcázar, et al.
Page
of 1