@article{2947,
  keywords = {Body Mass Index, C-means, K-means, Prehensile Strength, Risk, Support Vector Machine},
  author = {E.F. Bareño-Castellanos and Paulo Alonso Gaona-García and J.E. Ortiz-Guzmán and Carlos Enrique Montenegro-Marin},
  title = {Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms},
  abstract = {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.},
  year = {2021},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {7},
  number = {2},
  pages = {27-33},
  month = {12/2021},
  issn = {1989-1660},
  url = {https://www.ijimai.org/journal/sites/default/files/2021-11/ijimai7_2_3_0.pdf},
  doi = {10.9781/ijimai.2021.05.004},
}