An Ambient Intelligent Agent Model for Relapse and Recurrence Monitoring in Unipolar Depression

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Abstract

Mental healthcare is a prospective area for applying AI techniques. For example, a computerized system could support individuals with a history of depression in maintaining their well-being throughout their lifetime. In this paper, the design of an ambient intelligent agent to support these individuals is presented. It incorporates an analysis and support model for diagnostics based on observed features and for suggested actions. The model used is based on dynamic relations that describe the occurrence of relapse in unipolar depression. By incorporating this model into an ambient agent system, the agent is able to reason about the state of the human and the effect of possible actions. Several simulation experiments have been conducted to illustrate the functioning of the proposed model in different scenarios.
Original languageEnglish
Title of host publicationProceedings of the 12th Conference on Artificial Intelligence in Medicine, AIME'09
EditorsC. Combi, Y. Shahar, A. Abu-Hanna
PublisherSpringer/Verlag
Pages186-190
Number of pages5
Volume5651
ISBN (Print)3642029752
DOIs
Publication statusPublished - 2009
Event12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy
Duration: 18 Jul 200922 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5651 LNAI

Conference

Conference12th Conference on Artificial Intelligence in Medicine, AIME 2009
CountryItaly
CityVerona
Period18/07/0922/07/09

Bibliographical note

Proceedings title: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, AIME'09
Publisher: Springer Verlag
Editors: C. Combi, Y. Shahar, A. Abu-Hanna

Keywords

  • Ambient Agent Modeling
  • Decision Support Systems
  • Relapse in Unipolar Depression
  • Temporal Dynamics

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