Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
Associate Dean for Research
Learning to self-manage by intelligent monitoring, prediction and intervention.
Wiratunga, Nirmalie; Corsar, David; Martin, Kyle; Wijekoon, Anjana; Elyan, Eyad; Cooper, Kay; Ibrahim, Zina; Celiktutan, Oya; Dobson, Richard J.; McKenna, Stephen; Morris, Jacqui; Waller, Annalu; Abd-Alhammed, Raed; Qahwaji, Rami; Chaudhuri, Ray
Authors
Dr David Corsar d.corsar1@rgu.ac.uk
Senior Lecturer
Kyle Martin
Anjana Wijekoon
Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Professor Kay Cooper k.cooper@rgu.ac.uk
Associate Dean (Research)
Zina Ibrahim
Oya Celiktutan
Richard J. Dobson
Stephen McKenna
Jacqui Morris
Annalu Waller
Raed Abd-Alhammed
Rami Qahwaji
Ray Chaudhuri
Abstract
Despite the growing prevalence of multimorbidities, current digital self-management approaches still prioritise single conditions. The future of out-of-hospital care requires researchers to expand their horizons; integrated assistive technologies should enable people to live their life well regardless of their chronic conditions. Yet, many of the current digital self-management technologies are not equipped to handle this problem. In this position paper, we suggest the solution for these issues is a model-aware and data-agnostic platform formed on the basis of a tailored self-management plan and three integral concepts - Monitoring (M) multiple information sources to empower Predictions (P) and trigger intelligent Interventions (I). Here we present our ideas for the formation of such a platform, and its potential impact on quality of life for sufferers of chronic conditions.
Citation
WIRATUNGA, N., CORSAR, D., MARTIN, K., WIJEKOON, A., ELYAN, E., COOPER, K., IBRAHIM, Z., CELIKTUTAN, O., DOBSON, R.J., MCKENNA, S., MORRIS, J., WALLER, A., ABD-ALHAMMED, R., QAHWAJI, R. and CHAUDHURI, R. 2019. Learning to self-manage by intelligent monitoring, prediction and intervention. In Wiratunga, N., Coenen, F. and Sani, S. (eds.) Proceedings of the 4th International workshop on knowledge discovery in healthcare data (KDH 2019), co-located with the 28th International joint conference on artificial intelligence (IJCAI-19), 10-11 August 2019, Macao, China. CEUR workshop proceedings, 2429. Aachen: CEUR-WS [online], pages 60-67. Available from: http://ceur-ws.org/Vol-2429/paper10.pdf
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 4th International workshop on knowledge discovery in healthcare data (KDH 2019) |
Start Date | Aug 10, 2019 |
End Date | Aug 11, 2019 |
Acceptance Date | Jun 17, 2019 |
Online Publication Date | Aug 21, 2019 |
Publication Date | Aug 21, 2019 |
Deposit Date | Jul 2, 2019 |
Publicly Available Date | Jul 9, 2019 |
Publisher | CEUR-WS |
Peer Reviewed | Peer Reviewed |
Pages | 60-67 |
Series Title | CEUR workshop proceedings |
Series Number | 2429 |
Series ISSN | 1613-0073 |
Keywords | Patient self-care; Patient self-management; Digital self-management; Chronic conditions |
Public URL | https://rgu-repository.worktribe.com/output/318067 |
Publisher URL | http://ceur-ws.org/Vol-2429/ |
Contract Date | Jul 9, 2019 |
Files
WIRATUNGA 2019 Learning to self-manage by intelligent (v2)
(365 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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