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An algorithm to identify pregnancies in BIFAP Primary Care database in Spain: Results from a cohort of 155 419 pregnancies.

Sara Sanchez OrtizAna Llorente GarcíaPaloma AstasioConsuelo HuertaLucía Cea-Soriano
Published in: Pharmacoepidemiology and drug safety (2019)
Having in mind the challenges of identifying pregnancies in health care databases, this study demonstrates the usefulness of BIFAP database for studies on drug utilization during pregnancy.
Keyphrases
  • preterm birth
  • primary care
  • gestational age
  • healthcare
  • adverse drug
  • pregnancy outcomes
  • machine learning
  • deep learning
  • emergency department
  • artificial intelligence
  • health information
  • neural network