An Ambient Agent To Support Depression Relapse Prevention

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.
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

Cite this

Aziz, A. A., Klein, M. C. A., & Treur, J. (2009). An Ambient Agent To Support Depression Relapse Prevention. In P. Boldi, & G. Vizzari (Eds.), Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 (Vol. 3, pp. 335-340). [5285083] IEEE Computer Society Press. https://doi.org/10.1109/WI-IAT.2009.296
Aziz, A.A. ; Klein, M.C.A. ; Treur, J. / An Ambient Agent To Support Depression Relapse Prevention. Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. editor / P. Boldi ; G. Vizzari. Vol. 3 IEEE Computer Society Press, 2009. pp. 335-340
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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. {\circledC} 2009 IEEE.",
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Aziz, AA, Klein, MCA & Treur, J 2009, An Ambient Agent To Support Depression Relapse Prevention. in P Boldi & G Vizzari (eds), Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. vol. 3, 5285083, IEEE Computer Society Press, pp. 335-340, 2009 IEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009, Milano, Italy, 15/09/09. https://doi.org/10.1109/WI-IAT.2009.296

An Ambient Agent To Support Depression Relapse Prevention. / Aziz, A.A.; Klein, M.C.A.; Treur, J.

Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. ed. / P. Boldi; G. Vizzari. Vol. 3 IEEE Computer Society Press, 2009. p. 335-340 5285083.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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AB - 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.

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Aziz AA, Klein MCA, Treur J. An Ambient Agent To Support Depression Relapse Prevention. In Boldi P, Vizzari G, editors, Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. Vol. 3. IEEE Computer Society Press. 2009. p. 335-340. 5285083 https://doi.org/10.1109/WI-IAT.2009.296