@inproceedings{14183dfc120e4af1b9fcbac45f58091c,
title = "An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder",
abstract = "This paper presents a first study to apply a computational approach to Genito-Pelvic Pain/Penetration Disorder (GPPPD) using a Fear Avoidance Model. An adaptive temporal-causal network model for fear avoidance was designed and therapeutic interventions were incorporated targeting one or two emotional states. Validation with empirical data shows that for one type of individual therapeutic intervention targeting two states can reduce pain and other complaints. For three other types of individuals, targeting two emotional states was not sufficient to reduce pain and other complaints. The computational model can address large individual differences and supports the claim that interventions for GPPPD should be multidisciplinary.",
keywords = "Adaptive temporal-causal network, Computational modelling, Fear avoidance model, Genito-pelvic pain/penetration disorder, Pain disorder",
author = "{van{\textquoteright}t Hof}, Sophie and Arja Rydin and Jan Treur and Paul Enzlin",
year = "2020",
doi = "10.1007/978-3-030-59277-6_1",
language = "English",
isbn = "9783030592769",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "3--15",
editor = "Mufti Mahmud and Stefano Vassanelli and Kaiser, {M. Shamim} and Ning Zhong",
booktitle = "Brain Informatics",
note = "13th International Conference on Brain Informatics, BI 2020 ; Conference date: 19-09-2020 Through 19-09-2020",
}