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 |
|---|---|
| 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 |
|---|---|
| Publisher | CEUR-WS |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | IJCAI-19 |
|---|---|
| Country/Territory | China |
| City | Macao |
| Period | 10/08/19 → 16/08/19 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- General Computer Science
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