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...
- Autores:
-
Bareño Castellanos, Edvard Frederick
Gaona Garcia, Paulo Alonso
Ortiz-Guzman, Johan-Enrique
Montenegro Marín, Carlos Enrique
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
- Repositorio:
- Repositorio Institucional UDCA
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udca.edu.co:11158/4522
- Palabra clave:
- Enfermedades cardiovasculares
Indice de masa corporal
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es