COVID patients' severity level detection using machine learning approach

Rishika Anand, Meenakshi Saroha, Pooja Gambhir and Dimple Sethi

International Journal of Information and Decision Sciences, 2025, vol. 17, issue 3, 326-341

Abstract: COVID-19 is a contagious disease that is caused by the SARS-CoV-2. This disease originated in Wuhan, China, in 2019, which resulted in a pandemic. This virus is diagnosed using chest computed tomography. Preventive measures like not touching face, maintaining distance, and frequent washing hands are taken care of to reduce disease transmission. There is a vaccine for COVID-19, but it is effective to some extent, whereas fewer hospitals are there for the patients suffering from COVID-19 in India. So, the government needs to admit the patients with the severe infection from COVID-19, and the patients with less severity have to isolate themselves in their homes. In this article, various parameters are considered to detect the severity of the patient suffering from COVID-19. Machine learning techniques are applied to get better accuracy while detecting the severity of the patients.

Keywords: COVID-19; symptoms of COVID-19; machine learning; the severity of patients. (search for similar items in EconPapers)
Date: 2025
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