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Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania.

Innocent B MboyaMichael Johnson J MahandeMohanad MohammedJoseph ObureHenry G Mwambi
Published in: BMJ open (2020)
In this cohort, there was no significant difference in the prediction of perinatal deaths between machine learning and logistic regression models, except for bagging. The machine learning models had a higher net benefit, as its predictive ability of perinatal death was considerably superior over the logistic regression model. The machine learning models, as demonstrated by our study, can be used to improve the prediction of perinatal deaths and triage for women at risk.
Keyphrases
  • machine learning
  • pregnant women
  • artificial intelligence
  • emergency department
  • big data
  • type diabetes
  • polycystic ovary syndrome
  • pregnancy outcomes
  • metabolic syndrome
  • insulin resistance
  • cervical cancer screening