COVID-19 Patients Management and Triaging Using Machine Learning Techniques

Abstract

AbstractCOVID-19 is a disease that is caused by a new virus, coronavirus, which first appeared in China and a few months; it spread all over the globe, infecting many people. This disease shows very common symptoms like fever, cough, and tiredness, which makes it more difficult to know if the person is infected or not. There have been a lot of struggles in finding a way to detect the virus in a human body and manage the infected at the same time. There is an immense increase in the number of infected cases, so it becomes difficult to manage patients with proper resources and medical facilities, leading to an increase in casualties. To overcome the difficulty, this study proposes fast and efficient methods for the detection of the virus and proper treatment. COVID-19 patient management and triaging means accurately identifying patients or detecting COVID-19 and categorizing the patients or sorting them accordingly for their proper management. This study aims to help the government and health care system take relevant steps to detect and manage COVID-19 patients. Also, with the details and symptoms of the infected person, we can categorize the person as a mild, critical, or severe case. The proposed methods in the chapter have shown promised results while testing on COVID CT Scan Images and patients’ symptoms dataset.KeywordsCOVID-19Machine learningConvolutional Neural Network (CNN)Image classificationTriaging