A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain.

Journal: European journal of pain (London, England)
PMID: 39902807

Abstract

BACKGROUND: Recurrence is common in chronic low back pain (CLBP). However, predicting the recurrence risk remains a challenge. The aim is to develop and validate a machine learning tool to predict the recurrence risk in patients with CLBP by using multidimensional medical information.

Authors

  • Yilong Huang
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Sciences, Guangzhou, China.
  • Chunli Li
    State Key Laboratory of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China; Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, 214122 Wuxi, Jiangsu, China.
  • Jiaxin Chen
  • Zhongwei Wang
    Department of Radiology, Baoshan People's Hospital, Baoshan, China.
  • Derong Zhao
    Department of Radiology, Baoshan People's Hospital, Baoshan, China.
  • Lei Yang
    George Mason University.
  • Zhenguang Zhang
    Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (Z.Z., B.H.).
  • Yuanming Jiang
    Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Xiaolina Zhang
    Department of Pain, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Bo He
    Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

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