An Ambient Agent To Support Depression Relapse Prevention

A.A. Aziz; M.C.A. Klein; J. Treur

doi:10.1109/WI-IAT.2009.296

An Ambient Agent To Support Depression Relapse Prevention

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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.

Original language	English
Title of host publication	Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Editors	P. Boldi, G. Vizzari
Publisher	IEEE Computer Society Press
Pages	335-340
Number of pages	6
Volume	3
ISBN (Print)	9780769538013
DOIs	https://doi.org/10.1109/WI-IAT.2009.296
Publication status	Published - 2009
Event	2009 IEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009 - Milano, Italy Duration: 15 Sept 2009 → 18 Sept 2009

Conference

Conference	2009 IEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009
Country/Territory	Italy
City	Milano
Period	15/09/09 → 18/09/09

Keywords

Ambient agent
Decision support model
Temporal modelling
Unipolar depression relapse modelling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/WI-IAT.2009.296Licence: Unspecified

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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). Article 5285083 IEEE Computer Society Press. https://doi.org/10.1109/WI-IAT.2009.296

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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. {\textcopyright} 2009 IEEE.",

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author = "A.A. Aziz and M.C.A. Klein and J. Treur",

year = "2009",

doi = "10.1109/WI-IAT.2009.296",

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booktitle = "Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009",

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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 proceeding › Conference contribution › Academic › peer-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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KW - Temporal modelling

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An Ambient Agent To Support Depression Relapse Prevention

Abstract

Conference

Keywords

UN SDGs

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