Title: COVID patients' severity level detection using machine learning approach

Authors: Rishika Anand; Meenakshi Saroha; Pooja Gambhir; Dimple Sethi

Addresses: Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India ' Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India ' Department of Information Technology, Indira Gandhi Delhi Technical University for Women, Delhi, India ' Department of Information Technology, Indira Gandhi Delhi Technical University for Women, Delhi, India

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.

DOI: 10.1504/IJIDS.2025.149302

International Journal of Information and Decision Sciences, 2025 Vol.17 No.3, pp.326 - 341

Received: 22 May 2022
Accepted: 21 Oct 2022
Published online: 24 Oct 2025 *

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