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Machine Learning-Based Categorization of COVID-19 Patients
Abstract
The world has been put to a standstill by the COVID-19 pandemic, which has been caused by the SARS-CoV-2 (initially called 2019-nCoV) infecting agent. Moreover, this pandemic is spreading like a wildfire. Even the developed nations are running short of hospital beds and ventilators to treat the critically ill. Considering the total population of the world and the pace at which this pandemic is spreading, it not possible to hospitalize all the positive patients with intensive care facilities. In the chapter, the authors present a machine learning-based approach that will categorize the COVID-19 positive patients into five different categories, namely asymptomatic, mild, moderate, severe, and critical. The proposed system is capable of classifying the COVID-19-affected patients into five distinct categories using selected features of age, gender, ALT, hemoglobin, WBC, heart disease, hypertension, fever, muscle ache, shortness of breath with 97.5% accuracy.
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