Machine Learning for Predicting Primary Graft Dysfunction After Lung Transplantation: An Interpretable Model Study.

Journal: Transplantation
Published Date:

Abstract

BACKGROUND: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx) and greatly influences patients' prognosis. This study aimed to establish an accurate machine learning (ML) model for predicting grade 3 PGD (PGD3) after Lung Tx.

Authors

  • Wei Xia
    Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Weici Liu
    Department of Thoracic Surgery, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, Wuxi, 214023, China.
  • Zhao He
    Research Center of Digital Radiation Imaging and Biomedical imaging, Beijing University of Aeronautics and Astronautics, Beijing, China.
  • Chenghu Song
    Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
  • Jiwei Liu
    Department of Oncology, The First Hospital of Dalian Medical University (FHDMU), Dalian, China.
  • Ruo Chen
    Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
  • Jingyu Chen
  • Xiaokun Wang
    Department of Anesthesiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin 300060, China.
  • Hongyang Xu
    Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
  • Wenjun Mao
    Department of Cardio-thoracic Surgery, Nanjing Medical University Affiliated Wuxi People's Hospital, Wuxi, Jiangsu, China; Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address: maowenjun1@njmu.edu.cn.