Abstract
Mental disorders are more and more seen as based on complex networks of symptoms and predispositions that create the disorder as an emergent behaviour of the network’s dynamics. This paper aims to provide a computational model reflecting the adaptive causal relations between anxiety, stress and physical exercise based on a network-oriented modelling approach. The model was evaluated by executing several simulations and validated through an examination of its emergent properties and their cross-reference to the available literature. The created model offers the possibility of simulating different treatments, and offers a basis to develop a virtual patient model.
Original language | English |
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Title of host publication | Artificial Intelligence Applications and Innovations |
Subtitle of host publication | 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings |
Editors | Ilias Maglogiannis, John Macintyre, Lazaros Iliadis |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 17-29 |
Number of pages | 13 |
ISBN (Electronic) | 9783030791506 |
ISBN (Print) | 9783030791490, 9783030791520 |
DOIs | |
Publication status | Published - 2021 |
Event | 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 - Virtual, Online Duration: 25 Jun 2021 → 27 Jun 2021 |
Publication series
Name | IFIP Advances in Information and Communication Technology |
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Volume | 627 |
ISSN (Print) | 1868-4238 |
ISSN (Electronic) | 1868-422X |
Conference
Conference | 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 |
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City | Virtual, Online |
Period | 25/06/21 → 27/06/21 |
Bibliographical note
Publisher Copyright:© 2021, IFIP International Federation for Information Processing.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
- Adaptive network
- Anxiety
- Physical exercise
- Stress
- Temporal-causal