Jose Manuel Velasco

Lecturer

Universidad Complutense de Madrid

Spain

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Jose Manuel Velasco is a Lecturer at Universidad Complutense de Madrid, Spain. His research areas include diabetes prediction, machine learning applications in obesity risk assessment, and the impact of mood and stress on glycemic variability. Recent publications involve techniques such as genetic programming and advanced classification methods to evaluate epidemiological data, including COVID-19.

Articles (7)

Year:

2024

Year:

2024

Year:

2024

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2023

Year:

2022

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Gabriel Kronberger

University of Applied Sciences Upper Austria

AUSTRIA

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Jose Manuel Velasco

Research Interests

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About

Articles (7)

Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults

HUPA-UCM diabetes dataset

Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction

Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses

Predicting the Risk of Overweight and Obesity in Madrid—A Binary Classification Approach with Evolutionary Feature Selection

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

Expert System to Model and Forecast Time Series of Epidemiological Counts with Applications to COVID-19

Collaborators (6)

J. Ignacio Hidalgo

Oscar Garnica

Almudena Sánchez-Sánchez

Rodrigo Jimenez Garcia

Natalia de las Heras

Gabriel Kronberger

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