DESIGN AND IMPLEMENTATION OF A HEALTH RECOMMENDATION SYSTEM FOR DRUG ADDICTS (ANTIDEPRESSANT DRUGS)

Abstract

With the rising populations of people today, huge quantity of data has been collected from clinical and hospital databases representing patients' health states (e.g., as laboratory results, treatment plans, medical reports). Health Information Systems are becoming an important platform for healthcare services. Health Recommender Systems increase usability of technologies and reduce information overload in processes. Health Recommender Systems (HRS) are presented as complementary tools in decision making processes in healthcare services. This project is based on the design and implementation of a health recommendation system for drug addict(antidepressant). It studies people with drug addiction issues and aims to help them maintain a healthy life style by recommending them to a working and efficient rehabilitation center, thereby aiding healthcare facilitators. The goal of this work is to develop a seamless, efficient and reliable health recommendation system that would diagnose and recommend drug addict to a nearest rehabilitation center for treatment. In order to achieve its aim and objective, data gathering techniques were employed, and a system was developed in the react native framework with JavaScript and the API which I developed.