Abstract
Helping someone who is depressed can be very important to the depressed person. A number of supportive family members or friends can often make a big difference. This paper addresses how a social support network can be formed, taking the needs of the support recipient and the possibilities of the potential support providers into account. To do so, dynamic models about the preferences and needs of both support providers and support recipients are exploited. The outcome of this is used as input for a configuration process of a support network. In a case study, it is show how such an intelligently formed network results in a reduced long term stress level. © 2011 Springer-Verlag.
Original language | English |
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Title of host publication | Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings |
Pages | 24-34 |
Number of pages | 11 |
Volume | 6747 LNAI |
DOIs | |
Publication status | Published - 2011 |
Event | 13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia Duration: 2 Jul 2011 → 6 Jul 2011 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6747 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th Conference on Artificial Intelligence in Medicine, AIME 2011 |
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Country/Territory | Slovenia |
City | Bled |
Period | 2/07/11 → 6/07/11 |
Bibliographical note
Proceedings title: Proceedings of the 13th International Conference on Artificial Intelligence in Medicine, AIME'11Editors: M Peleg et al
Keywords
- Agent-Based Modeling
- Cognitive Models
- Configuration
- Social Support Networks
- Unipolar Depression