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Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.

Suzanne M NewtonSamantha DistlerKate R WoodworthDaniel ChangNicole M RothAmy BoardHailee HutchersonJanet D CraganSuzanne M GilboaVan T Tong
Published in: Birth defects research (2023)
Using automated approaches allowed for categorization of 99.6% of reported possible birth defects, which helps detect possible patterns requiring further investigation. Without employing these analytic approaches, manual review would have been needed for 1568 observations. These methods can be employed to quickly and accurately sift through data to inform public health responses.
Keyphrases
  • public health
  • gestational age
  • machine learning
  • electronic health record
  • deep learning
  • high throughput
  • big data