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Development and validation of a practical clinical risk prediction model for post-endoscopic retrograde cholangiopancreatography pancreatitis.

Zhao Wu MengYibing RuanStacey FisherKirles BishayMillie ChauMegan HowarthShane CartwrightYen-I ChenElijah DixonSteven J HeitmanDarren R BrennerNauzer Forbes
Published in: DEN open (2024)
We successfully developed and internally validated a promising post-ERCP pancreatitis clinical prediction model using easily obtainable variables that are known at baseline or observed during the ERCP procedure. The model achieved an area under the curve of 0.79. External validation is planned as additional data becomes available.
Keyphrases
  • minimally invasive
  • big data
  • machine learning