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Development and validation of a predictive model algorithm to identify anaphylaxis in adults with type 2 diabetes in U.S. administrative claims data.

Daniel C BeachlerDevon H TaylorMary S AnthonyRuihua YinLing LiCatherine W SaltusLin LiAlka ShaunikKathleen E WalshKenneth J RothmanCatherine B JohannesVanita R ArodaWarner CarrPinkus GoldbergAndrew AccardiJohn Shane O'ShuraKristen SharmaJuhaeri JuhaeriStephan LanesChuntao Wu
Published in: Pharmacoepidemiology and drug safety (2021)
Predictive modeling techniques yielded an accurate algorithm with high PPV and sensitivity for identifying anaphylaxis in administrative claims. This algorithm could be considered in future safety studies using similar claims data to reduce potential outcome misclassification.
Keyphrases
  • health insurance
  • machine learning
  • deep learning
  • big data
  • electronic health record
  • neural network
  • current status
  • climate change
  • mass spectrometry