Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

Journal: PloS one
PMID: 34191801

Abstract

OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.

Authors

  • Reza Arabi Belaghi
    Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada.
  • Joseph Beyene
    Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.
  • Sarah D McDonald
    Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada.

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