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Computerized data-driven interpretation of the intrapartum cardiotocogram: a cohort study.

Antoniya GeorgievaChristopher W G RedmanAris T Papageorghiou
Published in: Acta obstetricia et gynecologica Scandinavica (2017)
Large historic cohorts can be used to develop and optimize computerized cardiotocography monitoring, combining clinical and cardiotocography risk factors. Our simple prototype has demonstrated the principle of using such data to trigger alarms, and compares well with clinical judgment.
Keyphrases
  • risk factors
  • clinical decision support
  • big data
  • machine learning