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Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world

Neeraj KulkarniDeepti Pinto RosarioLiji Sarah DavidReeta VijayaselviManisha Madhai Beck
Published in: Journal of the Turkish German Gynecological Association (2018)
The ReCoDe method of classifying stillbirths is useful in the developing world. It helped to elucidate the cause for stillbirths in 84.2% of cases. The majority of cases in our set were due to fetal growth restriction, hypertensive disorders of pregnancy, and uteroplacental insufficiency. Stillbirths can be prevented by a comprehensive antenatal care system, early recognition, and close monitoring of high-risk pregnancies.
Keyphrases
  • preterm birth
  • pregnant women
  • healthcare
  • blood pressure
  • machine learning
  • palliative care
  • pregnancy outcomes
  • deep learning
  • gestational age
  • chronic pain
  • affordable care act
  • health insurance