Artículo de revista
Using grip strength as a cardiovascular risk indicator based on hybrid algorithms
Fecha
2021Registro en:
Bareño-Castellanos, E. F., Gaona-García, P. A., Ortiz-Guzmán, J. E., & Montenegro-Marin, C. E. (2021). Using grip strength as a cardiovascular risk indicator based on hybrid algorithms. International Journal of Interactive Multimedia and Artificial Intelligence, 7(2), 27-33. doi:10.9781/ijimai.2021.05.004
1989-1660
doi:10.9781/ijimai.2021.05.004
Universidad de Ciencias Aplicadas y Ambientales
UDCA
Autor
Bareño Castellanos, Edvard Frederick
Gaona Garcia, Paulo Alonso
Ortiz-Guzman, Johan-Enrique
Montenegro Marín, Carlos Enrique
Resumen
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 cardiovascular health of patients. The data were taken in a systematic way, k-means and c-means algorithms were used for the classification of the data, for the prediction of new data two vectorial support machines were used, one for the k-means and the other for the c-means, obtaining as a result a 100% of precision in the vectorial support machine with c-means and a 92% in the one of k-means.