An Ambient Agent To Support 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. © 2009 IEEE.
Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
EditorsP. Boldi, G. Vizzari
PublisherIEEE Computer Society Press
Pages335-340
Number of pages6
Volume3
ISBN (Print)9780769538013
DOIs
Publication statusPublished - 2009
Event2009 IEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009 - Milano, Italy
Duration: 15 Sep 200918 Sep 2009

Conference

Conference2009 IEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009
CountryItaly
CityMilano
Period15/09/0918/09/09

Keywords

  • Ambient agent
  • Decision support model
  • Temporal modelling
  • Unipolar depression relapse modelling

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