Predictive System of COVID -19 Using Response Based Analytical Model

Authors

  • Dr. Pallavi Mirajkar  Department of Computer Science, M. D. College, Parel, Mumbai, , Maharashtra, India
  • Dr. Rupali Dahake  Researcher, Pune, Maharashtra, India
  •   

DOI:

https://doi.org/10.32628/CSEIT21725

Keywords:

Covid-19, Prediction, Analytical Model, Symptoms, Response Based System

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Pallavi Mirajkar, Dr. Rupali Dahake,, " Predictive System of COVID -19 Using Response Based Analytical Model" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.05-10, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT21725