Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Application Proposal for Gastritis Diagnosis and Treatment Applying Machine Learning

Perez-Siguas R.; Matta-Solis H.; Matta-Solis E.; Matta-Zamudio L.; Remuzgo-Artezano A. · International Journal of Emerging Technology and Advanced Engineering (2022) · DOI: 10.46338/ijetae0422_05

Resumen

Currently one of the most popular diseases that goes unnoticed is gastritis, we found that the main causes of gastritis are those caused by stress, infections, excessive alcohol consumption, frequent use of medications as well as the disorder caused by the hectic pace of life. that most people have today. The purpose of this research work is to analyse, demonstrate, through a logical architecture design and prototype, a proposed application that can detect if the patient has gastritis and what type it is. This research base is intended to be developed and implemented to a large number of patients in Peru in which as a first initiative is the logical proposal argued in this research.

Instituciones: Universidad María Auxiliadora