Determination of candidate predictors for chiropractic treatment outcome of spinal pain using a machine learning framework for small datasets.
OBJECTIVES To develop a machine learning (ML) approach to explore self-reported factors predictive for recovery in a small set of spinal pain patients. METHODS In this prospective cohort study, patients (N = 96; mean age = 44.5 ± 16.5 years; 53 female) completed an extensive questionnaire at baseline and after 1 and...