Machine learning models predicts risk of proliferative lupus nephritis.

Journal: Frontiers in immunology
Published Date: Jun 11, 2024

Abstract

OBJECTIVE: This study aims to develop and validate machine learning models to predict proliferative lupus nephritis (PLN) occurrence, offering a reliable diagnostic alternative when renal biopsy is not feasible or safe.

Authors

  • Panyu Yang
    Department of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
  • Zhongyu Liu
    Department of Obstetrics and Gynecology, General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
  • Fenjian Lu
    Center for Reproductive Medicine, The Third People's Hospital of Chengdu, Chengdu, China.
  • Yulin Sha
    Department of Laboratory Medicine, Sichuan Jinxin Xinan Women's and Children's Hospital , Chengdu, China.
  • Penghao Li
    Department of Laboratory Medicine, Sichuan Jinxin Xinan Women's and Children's Hospital , Chengdu, China.
  • Qu Zheng
    Department of Laboratory Medicine, Sichuan Jinxin Xinan Women's and Children's Hospital , Chengdu, China.
  • Kefen Wang
    Department of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Xiaoxi Zeng
  • Yongkang Wu

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