Predicting Effectiveness of Drug from Patient’s Review

Abstract

In this paper, we have made multiple reviews and finally made a comparative study of machine learning and deep learning to predict the effectiveness of drugs. We have used both approaches and found that deep learning approaches are providing better results than machine learning approaches. We have made two types of classifications (good and bad) and got an efficiency rate with the help of a confusion matrix of more than 80% in the case of deep learning and less than 80% in the case of machine learning approaches.