Abstract
Mental healthcare is a prospective area for applying AI techniques. For example, a computerized system could support individuals with a history of depression in maintaining their well-being throughout their lifetime. In this paper, the design of an ambient intelligent agent to support these individuals is presented. It incorporates an analysis and support model for diagnostics based on observed features and for suggested actions. The model used is based on dynamic relations that describe the occurrence of relapse in unipolar depression. By incorporating this model into an ambient agent system, the agent is able to reason about the state of the human and the effect of possible actions. Several simulation experiments have been conducted to illustrate the functioning of the proposed model in different scenarios.
Original language | English |
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Title of host publication | Proceedings of the 12th Conference on Artificial Intelligence in Medicine, AIME'09 |
Editors | C. Combi, Y. Shahar, A. Abu-Hanna |
Publisher | Springer/Verlag |
Pages | 186-190 |
Number of pages | 5 |
Volume | 5651 |
ISBN (Print) | 3642029752 |
DOIs | |
Publication status | Published - 2009 |
Event | 12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy Duration: 18 Jul 2009 → 22 Jul 2009 |
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 | 5651 LNAI |
Conference
Conference | 12th Conference on Artificial Intelligence in Medicine, AIME 2009 |
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Country/Territory | Italy |
City | Verona |
Period | 18/07/09 → 22/07/09 |
Bibliographical note
Proceedings title: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, AIME'09Publisher: Springer Verlag
Editors: C. Combi, Y. Shahar, A. Abu-Hanna
Keywords
- Ambient Agent Modeling
- Decision Support Systems
- Relapse in Unipolar Depression
- Temporal Dynamics