Drug Recommendation System Using LDA
Satwik Reddy Sripathi, Nadella Venkata Sai Pradyumna, Akula Dhanush, Subramani R · 2022
These days, people are very much concerned about their health. Many want to lead a healthy and long life. However, studies reveal that errors due to doctor’s and pharmacist’s experience resulted in many people’s death. These medical errors are costing us our lives. Technical algorithms like LDA, PCA and other machine learning algorithms can help in topic modelling that would play a major role in the industry. These technologies can aid in the investigation of medical history and, by being doctor-friendly, can help to prevent medical errors. In this paper, a medicine is proposed based on the review taken from the patient as it would be identified with our model created with LDA. Recommendation system that analyses sentiment analysis of patient review data to discover the best medication for a disease is done in our work.