Raxa Drug Recommendation System

by Piyush Dane for Raxa

India has only one doctor per 1700 citizens. There is need for system that can suggest drug for a diseased patient given his health conditions. Raxa Drug Recommendation is project based on Machine Learning to suggest patient drug on the basic of past medical records. The project employs a UMLS meta-thesaurus and a generalized algorithm that can take data from any medical records database and can incorporate any number of features related to medical record like age, locations etc.