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Identification and Characterization of Immune Checkpoint Inhibitor-Induced Toxicities From Electronic Health Records Using Natural Language Processing.

Hannah BarmanSriram VenkateswaranAntonio Del SantoUnice YooEli SilvertKrishna RaoBharathwaj RaghunathanLisa A KottschadeMatthew S BlockG Scott ChandlerJoshua ZalisTyler E WagnerRajat Mohindra
Published in: JCO clinical cancer informatics (2024)
Overall, AC models enabled more accurate identification and assessment of patient impact of ICI-induced irAEs not found using diagnosis codes, demonstrating a novel and more efficient strategy to assess real-world clinical outcomes in patients treated with ICIs.
Keyphrases
  • electronic health record
  • high glucose
  • diabetic rats
  • drug induced
  • case report
  • oxidative stress
  • clinical decision support
  • mass spectrometry