SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients

Wang, Hua and Zhang, Ji and Soar, Jeffrey and Tao, Xiaohui and Huang, Wei (2013) SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients. In: 11th International Conference on Smart Homes and Health Telematics (ICOST 2013): Inclusive Society: Health and Wellbeing in Ageing-Friendly Community: eHealth, Telemedicine, Chronic Disease Management and Care at Home, 19-21 Jun 2013, Singapore.

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Abstract

This paper presents our research work to develop an advanced Self-adaptive Intelligent Monitoring System (SIMS) to help patients, families and clinicians manage chronic conditions associated with heart failure more effectively at home. SIMS takes advantages of a number of advanced technologies from software intelligence, data/knowledge retrieval, data mining and database. SIMS is able to provide a number of advanced functions. It can effectively prioritize patients, provide automatic recommendation for checking frequency and risk assessment, and carry out correlation analysis in order to pinpoint relationships between external factors and the development of patient's heart condition overtime. All these functions can significantly reduce patients' burden for checking, build up their self-confidence of health and enhance their general quality of life.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 Springer-Verlag Berlin Heidelberg. Series title: Lecture Notes in Computer Science v. 7910 Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 01 Sep 2013 23:12
Last Modified: 14 Sep 2017 01:22
Uncontrolled Keywords: self-adaptive technology; home-based healthcare; risk analysis; recommender system; correlation analysis
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
09 Engineering > 0903 Biomedical Engineering > 090304 Medical Devices
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
Socio-Economic Objective: C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: 10.1007/978-3-642-39470-6_43
URI: http://eprints.usq.edu.au/id/eprint/23977

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