Medicine Recommendation System

Abstract

The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, most people use online consultations for medicine recommendations for all health issues. Emergencies such as pandemics, floods, or cyclones can be helped by the medical recommender system. In the era of machine learning (ML), recommender systems produce more accurate, quick, and reliable clinical predictions with minimal costs. Most people tend to live a long and healthy life, but people are busy in their day-to-day lives and everyone can't visit doctors for minor symptoms of a disease. Many people do not know about medicines and to see a doctor and consult for minor symptoms for medicines is a time-consuming process. AI and machine learning like emerging technology can help us to create a recommended system that will prescribe medicine and this system can accurately predict a medicine to use. This paper proposes a medicine recommendation system that will predict disease and medicine according to symptoms entered by patients/users.