Modeling an Ambient Agent to Support Depression Relapse Prevention

Authors:
Azizi A. Aziz;Michel C. A. Klein;Jan Treur
Affiliations:
-;-;-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2009

Citing 2
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An integrative ambient agent model for unipolar depression relapse prevention

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Abstract

One of the challenges for the patients with a history of unipolar depression is to stay healthy throughout their lifetime. In principle, with more prior onset cases, it escalates the risk of the patients to fall into a relapse. In this paper, an ambient agent based model to support patients from relapse is presented. Theories and related works in depression relapse prevention provide a foundation for the formalization of the temporal properties to describe the model. This model was analyzed under several scenarios using simulation and automated verification.