Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention

Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Kay Cooper, Zina Ibrahim, Oya Celiktutan, Richard J. Dobson, Stephen McKenna, Jacqui Morris, Annalu Waller, Raed Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationKDH 2019
Subtitle of host publicationProceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data
EditorsNirmalie Wiratunga, Frans Coenen, Sadiq Sani
Place of PublicationGermany
PublisherCEUR-WS
Pages60-67
Number of pages8
Volume2429
Publication statusPublished - 2019
EventIJCAI-19: 28th International Joint Conference on Artificial Intelligence - Macao, China
Duration: 10 Aug 201916 Aug 2019
http://www.ijcai19.org/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
ISSN (Print)1613-0073

Conference

ConferenceIJCAI-19
CountryChina
CityMacao
Period10/08/1916/08/19
Internet address

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Wiratunga, N., Corsar, D., Martin, K., Wijekoon, A., Elyan, E., Cooper, K., ... Chaudhuri, R. (2019). Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. In N. Wiratunga, F. Coenen, & S. Sani (Eds.), KDH 2019: Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data (Vol. 2429, pp. 60-67). [10] (CEUR Workshop Proceedings). Germany: CEUR-WS.
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. / Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KDH 2019: Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data. editor / Nirmalie Wiratunga ; Frans Coenen ; Sadiq Sani. Vol. 2429 Germany : CEUR-WS, 2019. pp. 60-67 (CEUR Workshop Proceedings).
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title = "Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention",
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.",
author = "Nirmalie Wiratunga and David Corsar and Kyle Martin and Anjana Wijekoon and Eyad Elyan and Kay Cooper and Zina Ibrahim and Oya Celiktutan and Dobson, {Richard J.} and Stephen McKenna and Jacqui Morris and Annalu Waller and Raed Abd-Alhammed and Rami Qahwaji and Ray Chaudhuri",
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Wiratunga, N, Corsar, D, Martin, K, Wijekoon, A, Elyan, E, Cooper, K, Ibrahim, Z, Celiktutan, O, Dobson, RJ, McKenna, S, Morris, J, Waller, A, Abd-Alhammed, R, Qahwaji, R & Chaudhuri, R 2019, Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. in N Wiratunga, F Coenen & S Sani (eds), KDH 2019: Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data. vol. 2429, 10, CEUR Workshop Proceedings, CEUR-WS, Germany, pp. 60-67, IJCAI-19, Macao, China, 10/08/19.

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.

KDH 2019: Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data. ed. / Nirmalie Wiratunga; Frans Coenen; Sadiq Sani. Vol. 2429 Germany : CEUR-WS, 2019. p. 60-67 10 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention

AU - Wiratunga, Nirmalie

AU - Corsar, David

AU - Martin, Kyle

AU - Wijekoon, Anjana

AU - Elyan, Eyad

AU - Cooper, Kay

AU - Ibrahim, Zina

AU - Celiktutan, Oya

AU - Dobson, Richard J.

AU - McKenna, Stephen

AU - Morris, Jacqui

AU - Waller, Annalu

AU - Abd-Alhammed, Raed

AU - Qahwaji, Rami

AU - Chaudhuri, Ray

PY - 2019

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N2 - 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.

AB - 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.

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M3 - Conference contribution

VL - 2429

T3 - CEUR Workshop Proceedings

SP - 60

EP - 67

BT - KDH 2019

A2 - Wiratunga, Nirmalie

A2 - Coenen, Frans

A2 - Sani, Sadiq

PB - CEUR-WS

CY - Germany

ER -

Wiratunga N, Corsar D, Martin K, Wijekoon A, Elyan E, Cooper K et al. Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. In Wiratunga N, Coenen F, Sani S, editors, KDH 2019: Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data. Vol. 2429. Germany: CEUR-WS. 2019. p. 60-67. 10. (CEUR Workshop Proceedings).