Developing and validating a machine learning model to predict chronic pain following total knee arthroplasty.

Journal: The Knee
Published Date:

Abstract

OBJECTIVE: This study aims to compare the performance of various machine learning algorithms in predicting chronic pain after total knee arthroplasty (CPSP).

Authors

  • Ziliang Cheng
    Shandong Wendeng Osteopathic Hospital, Weihai, China.
  • Jingjing Li
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
  • Weishan Wu
    Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shangdong, China.
  • Jiguang Yin
    Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shangdong, China.
  • Xiangpeng Wang
    Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China.

Keywords

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