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Prediction of prognosis in immunoglobulin a nephropathy patients with focal crescent by machine learning

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  • Xuefei Lin
  • Yongfang Liu
  • Yizhen Chen
  • Xiaodan Huang
  • Jundu Li
  • Yuansheng Hou
  • Miaoying Shen
  • Zaoqiang Lin
  • Ronglin Zhang
  • Haifeng Yang
  • Songlin Hong
  • Xusheng Liu
  • Chuan Zou

Abstract

Background and objectives: Immunoglobulin a nephropathy (IgAN) is the most common primary glomerular disease in the world, with different clinical manifestations, varying severity of pathological changes, common complications of crescent formation in different proportions, and great individual heterogeneous in clinical outcomes. Therefore, we aim to develop a machine learning (ML) based predictive model for predicting the prognosis of IgAN with focal crescent formation and without obvious chronic renal lesions (glomerulosclerosis

Suggested Citation

  • Xuefei Lin & Yongfang Liu & Yizhen Chen & Xiaodan Huang & Jundu Li & Yuansheng Hou & Miaoying Shen & Zaoqiang Lin & Ronglin Zhang & Haifeng Yang & Songlin Hong & Xusheng Liu & Chuan Zou, 2022. "Prediction of prognosis in immunoglobulin a nephropathy patients with focal crescent by machine learning," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-16, March.
    • Handle: RePEc:plo:pone00:0265017
    DOI: 10.1371/journal.pone.0265017
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