Prediction of CoVid-19 mortality in Iraq-Kurdistan by using Machine learning

This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have coronavirus, find out which an effect to patient death. First, a literature has been made with the previous that done on analysis dataset using Machine learning (ML) algorithm. Second, data analytics is applied Sulaymaniyah, Iraq, factors affect mortality rate patients. Third, classification algorithms are used 1365 samples provided by hospitals in Iraq diagnose COVID-19. Using ML algorithm us this disease, and detect factor major It shown here support vector machine (SVM), decision tree (DT), naive Bayes can classify COVID-19 patients, DT best one among them at accuracy (96.7 %).