COVID patients' severity level detection using machine learning approach
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.
Authors
- Dimple Sethi (ORCID: https://orcid.org/0000-0001-8468-8639)
- Pooja Gambhir (ORCID: https://orcid.org/0000-0001-9299-1128)
- Meenakshi Saroha (ORCID: https://orcid.org/0000-0003-3721-3993)
- Rishika Anand
Institutions
- Indira Gandhi Delhi Technical University for Women (IN)
Publication Details
- Journal
- International Journal of Information and Decision Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijids.2025.149302
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00