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Validation of claims-based algorithms to identify non-live birth outcomes.

Yanmin ZhuBrian T BatemanSonia Hernandez-DiazKathryn J GrayLoreen StraubRebecca M ReimersBeryl Manning-GeistElizabeth YoselevskyLockwood G TaylorRita Ouellet-HellstromYong MaYandong QiangWei HuaKrista F Huybrechts
Published in: Pharmacoepidemiology and drug safety (2022)
Our findings suggest non-live birth outcomes can be identified in a valid manner in epidemiological studies based on healthcare utilization databases.
Keyphrases
  • healthcare
  • machine learning
  • gestational age
  • health insurance
  • deep learning
  • type diabetes
  • pregnant women
  • big data
  • skeletal muscle
  • adipose tissue
  • pregnancy outcomes
  • artificial intelligence
  • insulin resistance