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Demographic differences and potential bias from automated occupation coding among mothers of babies born with or without cleft lip and/or cleft palate in the Texas Birth Defects Registry.

Omobola O OluwafemiA J AgopianRenata H BenjaminDavid Gimeno Ruiz de PorrasCharlie J ShumateJenil R Patel
Published in: Journal of occupational and environmental medicine (2024)
We found consistent associations before and after excluding manually coded data for most comparisons, suggesting that machine learning can facilitate occupation-related birth defects research.
Keyphrases
  • gestational age
  • machine learning
  • preterm birth
  • big data
  • deep learning
  • artificial intelligence
  • electronic health record
  • human health
  • low birth weight
  • preterm infants
  • data analysis