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.
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van’t Hof, S., Rydin, A., Treur, J., Enzlin, P. (2020). An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder. In: Mahmud, M., Vassanelli, S., Kaiser, M.S., Zhong, N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science(), vol 12241. Springer, Cham. https://doi.org/10.1007/978-3-030-59277-6_1
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