학술논문
Modeling an Ambient Agent to Support Depression Relapse Prevention
Document Type
Conference
Author
Source
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on. 3:335-340 Sep, 2009
Subject
Language
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.