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
(1) Background: 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 conducted to identify predictors of neck disability in patients with neck pain based on clinical findings using machine learning algorithms. (2) Methods: Ninety participants with chronic neck pain took part in the study. Demographic characteristics in addition to neck pain intensity, the neck disability index, cervical spine contour, and surface electromyographic characteristics of the axioscapular muscles were measured...
March 28, 2024: Journal of Clinical Medicine