EZE CHIDERA EMMANUEL <br/><br/>
DESIGN AND IMPLEMENTATION OF A HEALTH RECOMMENDATION SYSTEM FOR DRUG ADDICT(ANTIDEPRESSANT) 

 - Dr. F. A. KASALI 
 - Ibafo  Computer Science and Mathematics   2021 
 - vii,; 69p. 
<br/><br/> With the rising populations of people today, huge quantity of data has been collected from<br/>clinical and hospital databases representing patients' health states (e.g., as laboratory results,<br/>treatment plans, medical reports). Health Information Systems are becoming an important<br/>platform for healthcare services. Health Recommender Systems increase usability of<br/>technologies and reduce information overload in processes. Health Recommender Systems<br/>(HRS) are presented as complementary tools in decision making processes in healthcare<br/>services. This project is based on the design and implementation of a health recommendation<br/>system for drug addict(antidepressant). It studies people with drug addiction issues and aims<br/>to help them maintain a healthy life style by recommending them to a working and efficient<br/>rehabilitation center, thereby aiding healthcare facilitators. The goal of this work is to develop<br/>a seamless, efficient and reliable health recommendation system that would diagnose and<br/>recommend drug addict to a nearest rehabilitation center for treatment. In order to achieve its<br/>aim and objective, data gathering techniques were employed, and a system was developed in<br/>the react native framework with JavaScript and the API which I developed. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Science