Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.

Journal: Neurourology and urodynamics
Published Date: Jul 9, 2025

Abstract

INTRODUCTION: Individuals with spinal cord injury (SCI) have varying bladder health trajectories after their injury. We explored whether a predictive machine learning model could identify which variables impact urinary symptoms.

Authors

  • Mehran Nejad-Mansouri
    Department of Surgery, Western University, London, Ontario, Canada.
  • Daniel Lizotte
    Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
  • Jeremy Myers
    Department of Surgery (Urology), University of Utah, Salt Lake City, Utah.
  • Sean Elliott
  • John T Stoffel
    Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
  • Sara Lenherr
    Department of Surgery, Division of Urology, University of Utah, Salt Lake City, Utah, USA.
  • Rhiannon Lyons
    Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
  • Tianyue Zhong
    Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
  • Blayne Welk
    Department of Surgery, Western University, London, Ontario, Canada.

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