PropertyValue
?:abstract
  • 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
is ?:annotates of
?:creator
?:journal
  • International_Journal_of_Emerging_Trends_in_Engineering_Research
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • Design of a mobile app with the use of machine learning for the monitoring of coronavirus patients (Covid 19) in Peru
?:type
?:who_covidence_id
  • #855037
?:year
  • 2020

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