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Development of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France.

Pierre-Olivier BlotièreAlain WeillMarie DalichamptCécile BillionnetMyriam MezzarobbaFanny RaguideauRosemary Dray-SpiraMahmoud ZureikJoël CosteFrançois Alla
Published in: Pharmacoepidemiology and drug safety (2018)
We have developed an algorithm that allows identification of a large number of pregnancies and all types of pregnancy outcomes. Pregnancy outcome and start dates were accurately identified, and maternal data could be linked to neonatal data.
Keyphrases
  • pregnancy outcomes
  • pregnant women
  • big data
  • machine learning
  • healthcare
  • electronic health record
  • deep learning
  • health insurance
  • type diabetes
  • insulin resistance
  • skeletal muscle
  • drug induced
  • bioinformatics analysis