Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date:

Abstract

PURPOSE: Prognostic models play an important clinical role in the clinical management of neck pain disorders. No study has compared the performance of modern machine learning (ML) techniques, against more traditional regression techniques, when developing prognostic models in individuals with neck pain.

Authors

  • Bernard X W Liew
    School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, UK. liew_xwb@hotmail.com.
  • Francisco M Kovacs
    Unidad de la Espalda Kovacs, Hospital Universitario HLA-Moncloa. University Hospital, Avenida de Menéndez Pelayo, 67, 28009, Madrid, Spain.
  • David Rugamer
    Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Ana Royuela
    Biostatistics Unit. Hospital Puerta de Hierro, IDIPHISA, CIBERESP, REIDE, Madrid, Spain.