Personalized Drug Recommender System to Aid Medical Professionals

Abstract: We propose a medical recommender system that provides disease detection and classification along with personalized recommendations for medical requirements based on the user's current diagnosis, medical history, their susceptibility, and genetics. The objective of the system is to assist medical professionals in their decision-making process and used in situations where access to the required or qualified medical professional is unavailable and immediate treatment is to be provided.

Keywords: Personalized Drug Recommendation, Medical Recommender System, Medical Informatics, Machine Learning in Healthcare, Electronic Health Records (EHRs).