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Quality of birth care and risk factors of length of stay after birth: A machine learning approach.

Songul CinarogluBusra Saylan
Published in: The journal of obstetrics and gynaecology research (2024)
Type of delivery which is an indicator of quality of birth care is a strong predictor of LOS after birth according to the Random Forest model. We demonstrated that machine learning techniques offer precise LOS prediction after birth. Further studies assessing the effect of quality of birth care on predicting LOS at birth would be beneficial.
Keyphrases
  • gestational age
  • machine learning
  • quality improvement
  • healthcare
  • palliative care
  • pregnancy outcomes
  • climate change
  • pregnant women