Adaptive Modelling of Trauma: Development and Recovery of Patients
| Autor: | Jan Treur, Laila van Ments, Daniel Formolo |
|---|---|
| Přispěvatelé: | Artificial intelligence, Network Institute, Social AI |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
medicine.medical_treatment Computational model 05 social sciences 050109 social psychology Cognition PTSD Trauma Group support 050105 experimental psychology Group psychotherapy Hebbian theory Social neuroscience medicine General Earth and Planetary Sciences Fear Extinction Learning 0501 psychology and cognitive sciences Hebbian learning General Environmental Science Cognitive psychology Network-Oriented Modeling |
| Zdroj: | Procedia Computer Science, 88. Elsevier BV BICA Formolo, D, van Ments, L & Treur, J 2016, ' Adaptive Modelling of Trauma: Development and Recovery of Patients ', Procedia Computer Science, vol. 88, pp. 512–521 . https://doi.org/10.1016/j.procs.2016.07.473 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.07.473 |
| Popis: | In this paper, a computational model is presented to simulate traumas, including their development, recovery, and the effect of group support. The model is built upon mechanisms known from cognitive and social neuroscience. Using the model, several scenarios were explored, considering both individual and multiple persons. The simulation results of the model were compared to a data-set on symptoms and recovery of traumatized patients. The obtained model enables simulation and analysis of group therapy and its effects on traumatized patients. |
| Databáze: | OpenAIRE |
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