CoVID-19 is a widespread pandemic all over the world. It is important to give in-depth research on it. In this work, we aim to predict the age of death in India's CoVid-19. We conduct this work using two machine learning methods, including AdaBoost and Random Forest. Then, we also apply feature selection to speed up the training processing, using random selection, PCA, SVD, and correlation. Between those two methods, we find that the AdaBoost is more suitable for age prediction, and the correlation method, with little performance decreasing, achieves 3 times speed up during training. © 2021 IEEE.
Age Prediction of Death in India' CoVID-19 Pandemic using Machine Learning Methods