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COVID patients' severity level detection using machine learning approach

Author

Listed:
  • Rishika Anand
  • Meenakshi Saroha
  • Pooja Gambhir
  • Dimple Sethi

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.

Suggested Citation

  • Rishika Anand & Meenakshi Saroha & Pooja Gambhir & Dimple Sethi, 2025. "COVID patients' severity level detection using machine learning approach," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 17(3), pages 326-341.
    • Handle: RePEc:ids:ijidsc:v:17:y:2025:i:3:p:326-341
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