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Optimizing an algorithm for the identification and classification of pregnancy outcomes in German claims data.

Nadine WentzellTania SchinkUlrike HaugSandra UlrichMarieke NiemeyerRafael Mikolajczyk
Published in: Pharmacoepidemiology and drug safety (2018)
Our algorithm led to plausible results regarding the identification and classification of pregnancy outcomes. It will be an important foundation for studies on drug utilization and drug safety during pregnancy based on GePaRD.
Keyphrases
  • pregnancy outcomes
  • deep learning
  • machine learning
  • pregnant women
  • big data
  • artificial intelligence
  • bioinformatics analysis
  • electronic health record
  • adverse drug
  • neural network
  • emergency department