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Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China.

Hongwei LiuJing LiJunhong LengHui WangJinnan LiuWeiqin LiHongyan LiuShuo WangJun MaJuliana Cn ChanZhijie YuGang HuChangping LiXilin Yang
Published in: Diabetes/metabolism research and reviews (2020)
The XGBoost model achieved better performance than the logistic model.
Keyphrases
  • machine learning
  • artificial intelligence
  • pregnant women
  • big data
  • pregnancy outcomes