An intelligent recommender system based on predictive analysis in telehealthcare environment

Lafta, Raid and Zhang, Ji and Tao, Xiaohui and Li, Yan and Tseng, Vincent S. and Luo, Yonglong and Chen, Fulong (2016) An intelligent recommender system based on predictive analysis in telehealthcare environment. Web Intelligence and Agent Systems: an International Journal, 14 (4). pp. 325-336. ISSN 2405-6456

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Abstract

The use of intelligent technologies for providing useful recommendations to patients suffering chronic diseases may play a positive role in improving the general life quality of patients and help reduce the workload and cost involved in their daily healthcare. The objective of this study is to develop an intelligent recommender system based on predictive analysis for advising patients in the telehealth environment concerning whether they need to take the body test one day in advance by analyzing medical measurements of a patient for the past k days. The proposed algorithms supporting the recommender system have been validated using a time series telehealth data recorded from heart disease patients which were collected from May to January 2012, from our industry collaborator Tunstall. The experimental results show that the proposed system yields satisfactory recommendation accuracy and offer a promising way for saving the workload for patients to conduct body tests every day. This study highlights the possible usefulness of the computerized analysis of time series telehealth data in providing appropriate recommendations to patients suffering chronic diseases such as heart diseases patients.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 16 Feb 2017 23:40
Last Modified: 22 Feb 2017 05:24
Uncontrolled Keywords: intelligent system, recommender system, heart failure, time series prediction, telehealth
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
Identification Number or DOI: 10.3233/WEB-160348
URI: http://eprints.usq.edu.au/id/eprint/30358

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