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Development of a lupus nephritis suboptimal response prediction tool using renal histopathological and clinical laboratory variables at the time of diagnosis.

Lindsay N HelgetDavid J DillonBethany WolfLaura P ParksSally E SelfEvelyn T BrunerEvan E OatesJim C Oates
Published in: Lupus science & medicine (2021)
Given the heterogeneity of disease presentation in LN, it is important that risk prediction models incorporate several data elements. This report provides for the first time a clinical proof-of-concept tool that uses the five most predictive models and simplifies understanding of them through a web-based application.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • artificial intelligence