Abstract

The Global Pandemic Preparedness ranking indicates that our country was unprepared to manage a pandemic as the number of infectious cases increased exponentially during the Pandemic, namely SARS-CoV-2. Separating the infectious from the level of infectiousness becomes so difficult in a short period. Since treating everyone needs a vast amount of clinical assessment, many patients will generate considerable data. That results in much more difficulty in manually analyzing datasets by compensating for treatment time. Through this study, we will provide a management tool by analyzing datasets with machine learning algorithms using MATLAB. This management tool will employ a highly efficient and effective hospital management system for the COVID-19 situation to tackle severe waves and regular COVID-19. The average evaluation of performance parameters gives the best result for both SVM and KNN algorithms which is 92% and 93% respectively.

Keywords

Pandemic, COVID-19, Severity, Patient Allocation tool, Machine Learning, SVM, KNN, RF Classifier