Identifying Predictors of Neck Disability in Patients with Cervical Pain Using Machine Learning Algorithms: A Cross-Sectional Correlational Study

Identifying Predictors of Neck Disability in Patients with Cervical Pain Using Machine Learning Algorithms: A Cross-Sectional Correlational Study

(1) <b>Background:</b> Neck pain intensity, psychosocial factors, and physical function have been identified as potential predictors of neck disability. Machine learning algorithms have shown promise in classifying patients based on their neck disability status. So, the current study was...

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Bibliographic Details
Main Authors: Ahmed A. Torad, Mohamed M. Ahmed, Omar M. Elabd, Fayiz F. El-Shamy, Ramzi A. Alajam, Wafaa Mahmoud Amin, Bsmah H. Alfaifi, Aliaa M. Elabd
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Clinical Medicine
Subjects:
neck pain
neck disability
machine learning algorithms
predictors
chronic pain
cross-sectional study
Online Access:https://www.mdpi.com/2077-0383/13/7/1967

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