Recommender System with Machine Learning and Artificial Intelligence

17Case Study 1: Health Care Recommender Systems

Usha Mittal¹, Nancy Singla² and Geetika Gupta³*

¹ Department of Computer Science and Engineering, Lovely Professional University, Phagwara, India

² Department of Pharmacology, University Institute of Pharmaceutical Sciences and Research, BFUHS, Faridkot, India

³ Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India

Abstract

Healthcare is prominent area of medical domain which needs to analyse large number of patient’s data to go into the deep insights and judge the health condition based upon life style, social activities and physical health records. The best way to cope with disease is to detect their symptoms as soon as possible. The health recommender system (HRS) becomes an indispensable tool in making decision in healthcare sector that maximizes the effectiveness and quality of medical services. The main objective of HRS is to assure the availability of valuable information at the right time by establishing information quality, authentication, privacy concerns and trustworthiness. Prediction made by HRS should not only be accurate but also help one to define appropriate treatment, precautions to be made, risk to individual as well present that risk in a secured and personalized manner with respect to illness and undesirable outcomes of treatments.

In this chapter, various health care recommender systems, different technologies to design recommender system are explained as well as a case ...