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Design of a mobile app with the use of machine learning for the monitoring of coronavirus patients (Covid 19) in Peru

Delgado A.,
Huamaní E.L.,
Gomero-Fanny V.,
Zarate-Edith M.
Document Type
Source Title
International Journal of Emerging Trends in Engineering Research
World Academy of Research in Science and Engineering


Globally, the massive expansion of acute respiratory syndrome (COVID_19) is mainly caused by the massive agglomeration of people at the time of travel, as a person infected with the virus who does not have the respective preventive measures can infect 3 more people according to studies. For this reason, here is proposed a mobile application with the use of the Machine Learning methodology for future prediction, through the historical data learned. In this scenario, historical data collection is performed and a decision tree is designed to evaluate the behavior of the data divided into three evaluation criteria (high, medium, and low) probability. As a result, the design of the App is shown with spaces for patient follow-up through, constant chat (doctor-patient), patient communication forums, prescriptions, recommendations and up-to-date information about the virus. This app will be useful for all Peruvian citizens as they avoid mass congestion of people when they move to a health center to have a discard test or other frequently asked questions to a doctor. © 2020, World Academy of Research in Science and Engineering. All rights reserved.

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