Lafta, Raid and Zhang, Ji and Tao, Xiaohui and Li, Yan and Tseng, Vincent S. (2015) An intelligent recommender system based on short-term risk prediction for heart disease patients. In: 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015, 6-9 Dec 2015, Singapore.
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Text (Accepted Version)
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Abstract
In this paper, an intelligent recommender system is
developed, which uses an innovative time series prediction algorithm to provide recommendations to heart disease patients in the tele-health environment. Based on analytics of each patient’s medical tests in records, the system provides the patient with decision support for necessity of medical tests. The experimental results show that the proposed system yields satisfactory accuracy in recommendations. The system also offers a promising way for
saving the workload for patients and healthcare practitioners in conducting daily medical tests. The research will help reduce the workload and cost in healthcare and help the healthcare industry
transform from the traditional scenario to more a personalized paradigm in a tele-health environment.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Accepted version deposited in accordance with the copyright policy of the publisher. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences |
| Date Deposited: | 29 Feb 2016 02:06 |
| Last Modified: | 12 Mar 2019 05:37 |
| Uncontrolled Keywords: | intelligent system, recommender system, heart failure, time series prediction |
| Fields of Research : | 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified |
| URI: | http://eprints.usq.edu.au/id/eprint/27810 |
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