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

Date

2015-08

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

IEEE Press

Type

Conference

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

Rights

Research Institute

Cyber Technology Institute (CTI)
Institute of Artificial Intelligence (IAI)