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Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal

Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal
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Author(s): Adekunle Oluseyi Afolabi (University of Eastern Finland, Finland), Pekka Toivanen (University of Eastern Finland, Finland), Keijo Haataja (University of Eastern Finland, Finland)and Juha Mykkänen (University of Eastern Finland, Finland)
Copyright: 2018
Pages: 21
Source title: Intelligent Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5643-5.ch098

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Abstract

This systematic literature review is aimed at examining empirical results and practical implementations of healthcare recommender systems. While fundamentally many of the development of recommender systems in medical and healthcare are based on theory and logic, the performance is always measured in terms of empirical results and practical implementations from evaluation of such systems. Besides, the ultimate judgment of the effectiveness of the methods and algorithms used is often based on the empirical results of recommender systems. Robustness, efficiency, speed, and accuracy are also best determined by empirical results. Extensive search was carried out in some major databases. Literature were grouped into three categories namely core, related, and relevant. The core papers were subjected to further analysis. The result shows that most work reviewed were partially evaluated and have a promising future. Moreover, a yet-to-be explored novel proposal for integration of a recommender system into smart home care is presented.

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