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Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort.

Herdiantri SufriyanaYu-Wei WuEmily Chia-Yu Su
Published in: JMIR medical informatics (2020)
Our model had a robust predictive performance. It was also developed to deal with the problem of a class imbalance. In the context of clinical management, this model may improve maternal mortality and neonatal morbidity and reduce health care costs.
Keyphrases
  • machine learning
  • healthcare
  • pregnancy outcomes
  • early onset
  • risk factors
  • artificial intelligence
  • type diabetes
  • birth weight
  • deep learning
  • big data
  • weight loss
  • health insurance