Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2009)
Sept. 15, 2009 to Sept. 18, 2009
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.
Ambient agent, unipolar depression relapse modelling, decision support model, temporal modelling.
M. C. Klein, A. A. Aziz and J. Treur, "Modeling an Ambient Agent to Support Depression Relapse Prevention," 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Milan, Italy, 2009, pp. 335-340.