Machine Learning application for the data classification process associated with the Celina medical center

The objective of this research project is the application of artificial intelligence through the use of Machine Learning for the data classification process associated with the CMC medical center, in wich CRISP-DM methodology is applied that allows data analysis to obtain useful information through a preference classification process for the medical service provided to patients during the years 2021 and 2022. Parameterized models for prediction are created, for wich, in the application you will find the aforementioned preferences between, medical appointments with their different specialties, manual andtechnological physiotherapy treatments, and vital signs monitoring; from where, we obtain that the client's preference is in the medical appointment service, in the area of Gynecology and Obstetrics. This information is important to identify where the business of the medical center is projected.