Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: a retrospective study

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• who: Kedong Song and Chong Qiao from the Federico II University Hospital, Italy have published the Article: Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study, in the Journal: (JOURNAL) of December/31,/2017
• what: For the purpose of developing short-term predictive models with common clinical observations and laboratory tests, the authors Frontiers in Cardiovascular Medicine frontiersin.org 10.3389/fcvm.2022.959649 Therefore, the primary objective of this study was to evaluate the performance of ML and LR for the development . . .
  

   

  

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