Predicting the Risk of Lumbar Prolapsed Disc: A Gene Signature-Based Machine Learning Analysis.

Journal: Pain and therapy
Published Date: May 4, 2025

Abstract

INTRODUCTION: Lumbar prolapsed disc (LPD) is a leading cause of low back pain, contributing significantly to global disability and healthcare burden. This study aimed to develop machine learning models to predict the risk of LPD by analysing gene expression profiles for early detection.

Authors

  • Fengfeng Wang
    Department of Anaesthesiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Room 424, Block K102 Pokfulam Road, Hong Kong, China.
  • Fei Meng
    Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China.
  • Stanley Sau Ching Wong
    Department of Anaesthesiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Room 424, Block K102 Pokfulam Road, Hong Kong, China. wongstan@hku.hk.

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