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 language | English |
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Title of host publication | KDH 2019 |
Subtitle of host publication | Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data |
Editors | Nirmalie Wiratunga, Frans Coenen, Sadiq Sani |
Place of Publication | Germany |
Publisher | CEUR-WS |
Pages | 60-67 |
Number of pages | 8 |
Volume | 2429 |
Publication status | Published - 2019 |
Event | IJCAI-19: 28th International Joint Conference on Artificial Intelligence - Macao, China Duration: 10 Aug 2019 → 16 Aug 2019 http://www.ijcai19.org/ |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR-WS |
ISSN (Print) | 1613-0073 |
Conference
Conference | IJCAI-19 |
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Country/Territory | China |
City | Macao |
Period | 10/08/19 → 16/08/19 |
Internet address |
ASJC Scopus subject areas
- General Computer Science