Application Proposal for Gastritis Diagnosis and Treatment Applying Machine Learning
Universidad María Auxiliadora & Av. Canto Bello 431, San Juan de Lurigancho, Rosa Pérez Siguas, Hernan Matta Solis, Eduardo Matta Solis, Lourdes Matta Zamudio, Anika Remuzgo Artezano
Abstract
Abstract— 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. Keyword-- Gastritis, Machine Learning, physical health, Patient health