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Developing and validating multivariable prediction models for predicting the risk of 7-day neonatal readmission following vaginal and cesarean birth using administrative databases.

Sangmin LeeDylan E O'SullivanDarren R BrennerAmy Metcalfe
Published in: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (2020)
Using routinely collected administrative data, we developed and validated prediction models for neonatal readmission following vaginal and cesarean births. Presently the model is sub-optimal for use in risk assessment and planning at discharge, however, additional information may improve the predictive performance.
Keyphrases
  • risk assessment
  • gestational age
  • big data
  • electronic health record
  • heavy metals
  • human health
  • healthcare
  • pregnant women
  • artificial intelligence
  • pregnancy outcomes