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Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.

Yunzhen YeYu XiongQiong-Jie ZhouJiang-Nan WuXiaotian LiXirong Xiao
Published in: Journal of diabetes research (2020)
In this study, we found that several machine learning methods did not outperform logistic regression in predicting GDM. We developed a model with cutoff points for risk stratification of GDM.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • clinical practice
  • electronic health record
  • deep learning