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Updated EUROCAT guidelines for classification of cases with congenital anomalies.

Jorieke Elisabertha Hermina BergmanAnnie PerraudIngeborg BarišićAgnieszka Kinsner-OvaskainenJoan K MorrisDavid TuckerDiana WellesleyEster Garne
Published in: Birth defects research (2024)
The EUROCAT subgroups and MCA algorithm provide a standardized and clear methodology for congenital anomaly research and epidemiological surveillance of congenital anomalies in order to facilitate the identification of teratogenic exposures and to assess the impact of primary prevention and prenatal screening policies. The EUROCAT subgroups and MCA algorithm are made freely available for other researchers via the EUROCAT Database Management Software.
Keyphrases
  • machine learning
  • deep learning
  • public health
  • pregnant women
  • emergency department
  • neural network
  • data analysis