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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

Adekunle Oluseyi Afolabi, Pekka Toivanen, Keijo Haataja, Juha Mykkänen
Copyright: © 2018 |Pages: 21
ISBN13: 9781522556435|ISBN10: 1522556435|EISBN13: 9781522556442
DOI: 10.4018/978-1-5225-5643-5.ch098
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MLA

Afolabi, Adekunle Oluseyi, et al. "Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal." Intelligent Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 2206-2226. https://doi.org/10.4018/978-1-5225-5643-5.ch098

APA

Afolabi, A. O., Toivanen, P., Haataja, K., & Mykkänen, J. (2018). Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal. In I. Management Association (Ed.), Intelligent Systems: Concepts, Methodologies, Tools, and Applications (pp. 2206-2226). IGI Global. https://doi.org/10.4018/978-1-5225-5643-5.ch098

Chicago

Afolabi, Adekunle Oluseyi, et al. "Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal." In Intelligent Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 2206-2226. Hershey, PA: IGI Global, 2018. https://doi.org/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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