Predictive Model Based on Machine Learning to Decrease Patient Attrition in Health Care Institutions in Lima Using Python

Ovalle C. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.248

Resumen

The present research addresses one of the main problems that prevent health problems in the country from being combated, identifying it as a significant challenge in health management. For this reason, it is necessary to generate a detection and/or prevention tool for these cases, so a predictive model is proposed to anticipate patients prone to drop out of the services of a health center. The research focuses on the Sanna El Golf clinic, where, by means of a predictive analysis, a 67% of assertiveness is obtained as a result, this approach shows substantial benefits for the clinic and highlights its contribution to meet the objectives set. In addition, the proposed model is positioned as a key tool in the prevention of medical attrition, identifying it as a significant challenge in health management.

Instituciones: Universidad Tecnológica del Perú