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Development and external validation of a multidimensional deep learning model to dynamically predict kidney outcomes in IgA nephropathy.

Tingyu ChenTiange ChenWenjie XuShaoshan LiangFeng XuDandan LiangXiang LiCaihong ZengGuotong XieZhi-Hong Liu
Published in: Clinical journal of the American Society of Nephrology : CJASN (2024)
In IgA nephropathy, a deep learning model can be used to accurately and dynamically predict kidney prognosis based on longitudinal data, and time-variant variables show strong ability to predict kidney outcome.
Keyphrases
  • deep learning
  • artificial intelligence
  • machine learning
  • electronic health record
  • type diabetes
  • big data
  • metabolic syndrome
  • insulin resistance
  • weight loss
  • clinical evaluation