Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.

Journal: World neurosurgery
PMID:

Abstract

BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learning (ML) tasks in multicentered studies, maximizing the use of clinical data without data sharing. We aim to propose the first workflow of DFL for ML tasks in multicentered studies, which can be as powerful as those using centralized data.

Authors

  • Wentai Zhang
    Department of Thoracic Surgery, Peking University First Hospital, Beijing, China.
  • Xueyang Wu
    School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China.
  • He Wang
    Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, China.
  • Ruopei Wu
    Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
  • Congcong Deng
    Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
  • Qian Xu
    College of Information Science and Engineering, Hunan Normal University, Changsha, P.R. China.
  • Xiaohai Liu
    Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
  • Xuexue Bai
    Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan Hutong, Dongcheng District, Beijing, 100730, China.
  • Shuangjian Yang
    Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
  • Xiaoxu Li
    Tsinghua University, Department of Automation, Beijing, China.
  • Ming Feng
    Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
  • Qiang Yang
  • Renzhi Wang
    Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.