Oscar Garnica

Associate Professor

Universidad Complutense de Madrid

Spain

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Oscar Garnica is an Associate Professor at Universidad Complutense de Madrid. His research focuses on the intersection of diabetes management and predictive healthcare, with recent articles exploring glycemic variability, glucose forecasting, and machine learning applications in medical diagnostics. He has published work on innovative approaches using advanced algorithms and data analytics to improve health outcomes for individuals with diabetes.

Articles (10)

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (3)

Jose Manuel Velasco

Lecturer

Universidad Complutense de Madrid

SPAIN

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J. Ignacio Hidalgo

Universidad Complutense de Madrid

SPAIN

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Almudena Sánchez-Sánchez

Profesora Contratada Doctora. Master del Profesorado

Universidad Autónoma de Madrid

SPAIN

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Oscar Garnica

Research Interests

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Articles (10)

Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools

Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes

Glucose forecasting using genetic programming and latent glucose variability features

Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers

Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios

Identification of blood glucose patterns in patients with type 1 diabetes using continuous glucose monitoring and clustering techniques,Identificación de patrones de glucemia en pacientes con diabetes tipo 1 mediante monitorización continua de glucosa y técnicas de clusterización

Study of Microscopic Residual Stresses in an Extruded Aluminium Alloy Sample after Thermal Treatment

Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients

Collaborators (3)

Jose Manuel Velasco

J. Ignacio Hidalgo

Almudena Sánchez-Sánchez

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