Using grip strength as a cardiovascular risk indicator based on hybrid algorithms

This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done on Python and proposes a tool to help make medical decisions regarding the car...

Full description

Autores:

Bareño Castellanos, Edvard Frederick
Montenegro Marin, Carlos Enrique

Tipo de recurso:

Trabajo de grado de pregrado

Fecha de publicación:

2021

Institución:

Universidad Distrital Francisco José de Caldas

Repositorio:

RIUD: repositorio U. Distrital

Idioma:

spa

OAI Identifier:

oai:repository.udistrital.edu.co:11349/28228

Acceso en línea:

http://hdl.handle.net/11349/28228

Palabra clave:

Body Mass Index
C-Means
K-Means
Percentage f Fat
Prehensile Strength
Risk Indicator
Support Vector Machine
Ingeniería de Sistemas - Tesis y disertaciones académicas
Enfermedades cardiovasculares - Prevención
Algoritmos híbridos
Máquinas de soporte vectorial
Análisis de datos
Body Mass Index
C-Means
K-Means
Percentage f Fat
Prehensile Strength
Risk Indicator
Support Vector Machine.

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Atribución-NoComercial-SinDerivadas 4.0 Internacional