Date Approved
12-15-2022
Graduate Degree Type
Project
Degree Name
Computer Information Systems (M.S.)
Degree Program
School of Computing and Information Systems
First Advisor
Robert Adams
Academic Year
2022/2023
Abstract
All around the globe, humankind faces a disastrous situation that witnessed COVID-19 outbreak. The COVID-19 pandemic caused severe loss of human life across the world. Most of the countries had been socially and economically weakened. The health sector faced lots of challenges in diagnosing the COVID patients, vaccinating the people, identifying the people who are infected by the virus. At the earlier stage, it has been difficult to identify the symptoms in infected person that is caused by the virus. Months later, symptoms were identified and, disease detecting machines were invented. But still, time taking for the results from the machines were able to slowly process the results. In my project, I came up with the application that predicts whether patients are infected by the virus or not.
ScholarWorks Citation
Singaraveni, Parashuram, "COVID-19 PREDICTION USING MACHINE LEARNING" (2022). Culminating Experience Projects. 225.
https://scholarworks.gvsu.edu/gradprojects/225
