Severity Detection of COVID-19 Patient’s Using Machine Learning Techniques

COVID-19 is a disease caused by a new corona virus called Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). Fever, dehydrated cough, tiredness, failure of flavor, overcrowding, painful throat and headache are the majority frequent symptoms of COVID-19. Due to the lack of useful information on the pathogenesis of COVID-19 and exact treatment, it highlights the significance of early diagnosis and suitable action. In this cram, our attention is to classify the patients as hospitalized and non-hospitalized. Statistical visualization plots were used to easily understand the concept. The machine learning (ML) classification algorithms were applied for performing this job. Further, proportional study is performed and finds the improved classification technique to categorize the respondents.