Impact of labor characteristics on maternal and neonatal outcomes of labor: a machine-learning model

HIGHLIGHTS

  • who: Sherif A. Shazly et al. from the Editor: Jonas Bianchi, University of the Pacific Arthur A Dugoni School of Dentistry, UNITED STATES have published the research work: Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model, in the Journal: PLOS ONE
  • what: The aim of this study is to establish intrapartum prediction models of unfavorable labor outcomes using machine-learning algorithms. The de-identified version of this database was obtained with permission through a DASH data use agreement for the purpose of this study. The aim of this . . .

     

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