Desarrollo de una aplicación de Inteligencia Artificial para el monitoreo y detección temprana de complicaciones durante el embarazo mediante análisis de datos clínicos en pacientes del Hospital General Guasmo Sur entre el año 2022 y el año 2023.

Abstract

The timely diagnosis of obstetric complications is a considerable challenge in many cases, due to the complexity with they are usually presented and, therefore, proper prenatal monitoring is often difficult in primary health care systems where the tools for quality care are not always available. The present research aims to implement a web application in conjunction with artificial intelligence (AI), to be able to predict early possible complications during pregnancy. This application aims to be a practical and easy-to-use tool for health care personnel, especially in places where resources are scarce. For this purpose, we have used statical study methods, applying logistic regression models and using software such as SPSS and RStudio, where the analysis of clinical data of pregnant patients treated during the period 2022-2023 in the Hospital General Guasmo Sur of Ecuador. The predictive model showed a sensitivity of 99.01% and a specification of 95.88%, which shows high reliability compared to others traditional methods. We hope that the app can help make faster and safer clinical decisions, as well as be the starting point for future research and a new way to use technology in maternal-fetal health monitoring. Likewise, we hope that through this research contribute to the advancement of medical digitization in Ecuador.