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Towards a Decision Support Personalised Self Management System for Chronic Conditions

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Zheng, H, Nugent, CD, McCullagh, PJ, Black, ND, Eccleston, C, Bradley, D, Hawley, M, Mawson, SJ, Wright, P and Mountain, GA (2008) Towards a Decision Support Personalised Self Management System for Chronic Conditions. In: IEEE International Conference on Networking, Sensing and Control, Hainan, China. UNSPECIFIED. 4 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/ICNSC.2008.4525462


People with long term health conditions often experience a radically reduced quality of life and suffer from a range of symptoms. Self management can encourage patients with a care support and reduce the burden of the costs of traditional face-to-face healthcare delivery. In this paper, we present a new approach to support self management for patients with long term conditions using assistive, rehabilitation and telecare technologies. A personalised self management system is proposed to effectively monitor, model and analyse relevant signs, symptoms and lifestyle consequences of long term conditions. Information on changes in chronic conditions will be fed back to the users in a meaningful and usable way and can be presented to patients to promote health behavior and to adjust life goals.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:7061
Deposited By:Professor Christopher Nugent
Deposited On:28 Jan 2010 09:24
Last Modified:01 Mar 2012 11:31

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