Machine learning models to predict osteonecrosis in patients with femoral neck fractures undergoing internal fixation.

Journal: Injury
PMID: 39236603

Abstract

OBJECTIVE: This study aimed to use machine learning (ML) to establish risk factor and prediction models of osteonecrosis of the femoral head (ONFH) in patients with femoral neck fractures (FNFs) after internal fixation.

Authors

  • Bingchuan Liu
    School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, People's Republic of China.
  • Guojin Hou
    Department of Orthopaedics, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China.
  • Zhongwei Yang
    Department of Orthopaedics, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China.
  • Zhishan Zhang
    Department of Orthopaedics, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing 100191, China.
  • Fang Zhou
    Center of Robot Minimally Invasive Surgery, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, Sichuan 61000, China.
  • Yun Tian

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