Machine Learning Based Classification and Clustering Analysis of Efficiency of Exercise Against Covid-19 Infection

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M. Sharmila Devi, Farooq Sunar Mahammad, D. Bhavana, D. Sukanya, TV. Sai Thanusha, M. Chandrakala, P. Venkata Swathi


It is established that exercise will increase immunity against covid-19. This data can be statistically verified by employing a Support Vector Machine model and a K-Means method. The number of push-ups taken per day/week and the occurrence covid-19 infection can be modeled into a Support Vector Machine algorithm. Similarly the minutes of jogging per day and breathing difficulty occurrences can be modeled into a K-Means algorithm. The training data set will give a predictive model to assess the importance of exercise against covid-19.

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