Abstract :

Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak, like the shortage of specialists and healthcare workers, lack of proper equipment and medicines etc. Due to unavailability, individuals started taking medication independently without appropriate consultation, making the health condition worse than usual. This Application intends to present a drug recommender system that can drastically reduce specialists heap. In this project, we build a medicine recommendation system that uses patient reviews to predict the sentiment using various vectorization processes, which can help recommend the top drug for a given disease by different classification algorithms. The results show that MLP classifier outperforms all other models with high accuracy.