Authors: P. Nagaraj; P. Deepalakshmi
Addresses: Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil, Virudhunagar, Tamil Nadu, India ' Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil, Virudhunagar, Tamil Nadu, India
Abstract: Recommender systems are emerging up very popular as they are able to predict the preferences of a user. This makes the proposal dependent on the user profile, past evaluations or/and extra learning, for example, user logical information and instructions. It can also be applied to healthcare area by taking advantage of environment information to sustain health improvement and disease prohibition. The utilisation of recommender framework has been efficient in both industry and the intellectual world. Recommender framework has additionally discovered its way into the healthcare discipline interval with shifted applications. The motivation behind this investigation is to comprehend the pattern of recommender framework applications in healthcare services by analysing and to give specialists and research knowledge and future supervision. The proposed work centres on giving a complete outline of the recommender frameworks in e-health service information to patients whenever, wherever and whatever. Health information systems are turning into an essential stage for healthcare services. In this specific circumstance, health recommender system is exhibited as correlative toll in decision-making process in healthcare services and administrations. This paper exhibits current improvements in the market, challenges and opportunities in e-health concerning health recommender system and developing methodologies.
Keywords: recommender system; health recommender system; e-healthcare; healthcare integrated information systems.
Electronic Government, an International Journal, 2020 Vol.16 No.1/2, pp.84 - 100
Received: 08 Apr 2019
Accepted: 17 Jun 2019
Published online: 22 Feb 2020 *