COVID-19 Prediction using Machine Learning Algorithms

Population aging and the increase of chronic conditions incidence and prevalence produce a higher risk of hospitalization or death due to COVID-19. This is particularly high for patients with multimorbidity leading to great resource consumption. Most important challenge is to identify possible high-risk patients in order to improve health care service provision and also to reduce costs. Nowadays, population health management, based on intelligent models, can be used to assess the risk and identify these "complex" patients infected with COVID-19. Main focus of project is to implement machine learning algorithms SVM, Knn, MLP & Decision tree to predict the risk of hospitalization or death starting from administrative and socio-economic dataset. Thus the training would be provided on training dataset which would help in predicting results for testing phase dataset provided.