Finding Right Doctors and Hospitals: A Personalized Health Recommender

Abstract

In today’s era, most of the population rely on the Internet to know about health information by accessing several online health portals, videos, articles, and blogs regarding diseases, diagnoses, and treatments published by hospitals, medical associations, etc. This change has been observed throughout the globe. However, it proved to be non-personalized and challenging in finding relevant information that resulted in taking adequate decisions regarding personal health status. Therefore, a personalized healthcare recommender system provided a solution by recommending the best services as per the user needs. This paper proposes an improved recommender in health care by exploiting user demographic features, similar users predicted rating, rating based on total number of reviews, and ratings based on average ratings using collaborative filtering. The proposed system is evaluated using generic data and is found to provide accurate recommendations, and the quality of the recommendation is improved by keeping our system up to date.