TY - JOUR
KW - Body Mass Index
KW - C-means
KW - K-means
KW - Prehensile Strength
KW - Risk
KW - Support Vector Machine
AU - E.F. Bareño-Castellanos
AU - Paulo Alonso Gaona-García
AU - J.E. Ortiz-Guzmán
AU - Carlos Enrique Montenegro-Marin
AB - 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.
IS - Regular Issue
M1 - 2
N2 - 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.
PY - 2021
SP - 27
EP - 33
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms
UR - https://www.ijimai.org/journal/sites/default/files/2021-11/ijimai7_2_3_0.pdf
VL - 7
SN - 1989-1660
ER -