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Learning to self-manage by intelligent monitoring, prediction and intervention

Wiratunga, N; Corsar, D; Martin, K; Wijekoon, A; Elyan, E; Cooper, K; Ibrahim, Z; ... Chaudhuri, R; + view all (2019) Learning to self-manage by intelligent monitoring, prediction and intervention. In: CEUR Workshop Proceedings of 4th International Workshop on Knowledge Discovery in Healthcare Data, KDH 2019. (pp. pp. 60-67). CEUR-WS: Macao, China. Green open access

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Abstract

Despite the growing prevalence of multimorbidities, current digital self-management approaches still prioritise single conditions. The future of outof- 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.

Type: Proceedings paper
Title: Learning to self-manage by intelligent monitoring, prediction and intervention
Event: The 4th International Workshop on Knowledge Discovery in Healthcare Data, KDH 2019
Location: Macao, China
Dates: 10th-16th Aug 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: http://ceur-ws.org/Vol-2429/paper10.pdf
Language: English
Additional information: © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10084100
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