Open AccessPredictive System of COVID -19 Using Response Based Analytical Model
Author(s) -
Pallavi Mirajkar,
Rupali Dahake
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit21725
Subject(s) - viewpoints , covid-19 , pandemic , prioritization , work (physics) , medicine , medical emergency , computer science , virology , engineering , outbreak , management science , disease , pathology , art , mechanical engineering , infectious disease (medical specialty) , visual arts
The novel COVID sickness 2019 (COVID-19) pandemic caused by the SARS-CoV-2 keeps on representing a serious and vital threat to worldwide health. This pandemic keeps on testing clinical frameworks around the world in numerous viewpoints, remembering sharp increments in requests for clinic beds and basic deficiencies in clinical equipments, while numerous medical services laborers have themselves been infected. We have proposed analytical model that predicts a positive SARS-CoV-2 infection by considering both common and severe symptoms in patients. The proposed model will work on response data of all individuals if they are suffering from various symptoms of the COVID-19. Consequently, proposed model can be utilized for successful screening and prioritization of testing for the infection in everyone.