Asistente médico virtual orientado al diagnóstico de enfermedades respiratorias aplicando inteligencia artificial

Abstract

Currently, respiratory diseases significantly affect a large part of the population worldwide, around 3.9 million people die annually from acute respiratory infections; among these, lung diseases are the leading cause of death, and their causes may be influenced by smoking and exposure to environmental pollution. The objective of this project is to create an application that allows a more agile diagnosis of respiratory diseases and encourages the population to seek medical attention for these conditions. For this, we sought to create a virtual medical assistant; first, the observation method was used as an analysis tool; second, data obtained from the San Cayetano Hospital were used as a reference, which were correlated with information collected by an electronic bracelet that gives us results of different variables (pulse, temperature and saturation), this bracelet is part of the research project "Electronic System Monitoring of Biosignals and Social Distancing Alerts for the Prevention of SARS-COV2 applying Artificial ntelligence”; thirdly, all this information was used to train the AI allowing the creation of an effective application in the diagnosis of respiratory diseases. The mobile application was created based on the Mobile - D methodology, achieving an agile development of the project; The Flutter framework was used for development with the Dart programming language, the rest-api was hosted in the Railway service, since this allowed it to be easier to host the dedicated api. Finally, the database was developed in Google's Firebase, since it offers greater ease of implementation when generating a call from the application to the database.