Towards Knowledge Driven Decision Support for Personalized Home-based Self-management of Chronic Diseases

Date
2015-08
Authors
Qi, Jun
Chen, Liming
Leister, Wolfgang
Yang, Shengxiang
Journal Title
Journal ISSN
ISSN
DOI
Volume Title
Publisher
IEEE Press
Peer reviewed
Yes
Abstract
The use of ICT technologies to facilitate self-management for patients with chronic diseases attracts increasing attention in smart healthcare. Existing research has mainly focused on sensing and data processing technologies with little work on decision support mechanisms and systems. In this paper, we propose a home-based decision support system based on a wide range of assessment metrics from medical assessment, social and psychological evaluation to behaviour analysis to help self-manage rehabilitation and wellbeing in a personalized manner for different patients. This paper develops semantic models for describing patients, their conditions, medical and behavioural assessments and inference mechanisms for decision recommendations. The research is undertaken in the context of mobile user self-management for Spondyloarthritis (SpA) patients. A case scenario is used to demonstrate the application of the proposed approach, technologies and principles.
Description
Keywords
Knowledge driven decision support, chronic disease, smart healthcare
Citation
Qi, J., Chen, L., Leister, W. and Yang, S. (2015) Towards knowledge driven decision support for personalized home-based self-management of chronic diseases. Proceeding of the 2015 Smart World Congress, pp. 1724-1729
Research Institute
Cyber Technology Institute (CTI)
Institute of Artificial Intelligence (IAI)