Intelligent Configuration of Social Support Networks around Depressed Persons

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Abstract

Helping someone who is depressed can be very important to the depressed person. A number of supportive family members or friends can often make a big difference. This paper addresses how a social support network can be formed, taking the needs of the support recipient and the possibilities of the potential support providers into account. To do so, dynamic models about the preferences and needs of both support providers and support recipients are exploited. The outcome of this is used as input for a configuration process of a support network. In a case study, it is show how such an intelligently formed network results in a reduced long term stress level. © 2011 Springer-Verlag.
Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
Pages24-34
Number of pages11
Volume6747 LNAI
DOIs
Publication statusPublished - 2011
Event13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
Duration: 2 Jul 20116 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6747 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Conference on Artificial Intelligence in Medicine, AIME 2011
CountrySlovenia
CityBled
Period2/07/116/07/11

Bibliographical note

Proceedings title: Proceedings of the 13th International Conference on Artificial Intelligence in Medicine, AIME'11
Editors: M Peleg et al

Keywords

  • Agent-Based Modeling
  • Cognitive Models
  • Configuration
  • Social Support Networks
  • Unipolar Depression

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