The main objective of this project is to detect the risk severity of the covid patient based on their blood samples by using machine learning algorithms.
Based on easily analysed circulatory blood indicators, this article provides a prediction model for possibly identifying high-risk COVID-19 infected individuals. These findings may be used to develop effective and efficient treatment plans for high-risk patients, as well as periodic monitoring for low-risk patients, easing the hospital flow of patients. They can also be used to analyse hospital bed usage. The current machine learning-based methods result in a higher accuracy in classifying COVID-19 infected patients as high-risk patients who require hospitalisation and low-risk patients who may not require hospitalisation.
KEYWORDS: COVID-19, treatment, machine learning, hospitalization...
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