Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome

Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome

A better understanding of the connection between risk factors associated with pain and function may assist therapists in optimizing therapeutic programs. This study applied mathematical modeling to analyze the relationship of psychological, psychophysical, and motor variables with pain, function, an...

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Bibliographic Details
Main Authors: Oscar J. Pellicer-Valero, José D. Martín-Guerrero, Margarita I. Cigarán-Méndez, Carmen Écija-Gallardo, César Fernández-de-las-Peñas, Esperanza Navarro-Pardo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Symmetry
Subjects:
carpal tunnel syndrome
Bayesian linear regression
self-organizing maps
mathematical modeling
Online Access:https://www.mdpi.com/2073-8994/12/10/1581

Internet

https://www.mdpi.com/2073-8994/12/10/1581

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