Predicting vaginal delivery after labor induction using machine learning: Development of a multivariable prediction model.

Journal: Acta obstetricia et gynecologica Scandinavica
PMID: 39601322

Abstract

INTRODUCTION: Induction of labor, often used for pregnancy termination, has globally rising rates, especially in high-income countries where pregnant women present with more comorbidities. Consequently, concerns on a potential rise in cesarean section (CS) rates after induction of labor (IOL) demand for improved counseling on delivery mode within this context.

Authors

  • Iolanda Ferreira
    Obstetrics Department, University and Hospitalar Centre of Coimbra, Coimbra, Portugal.
  • Joana Simões
    Department of Informatics Engineering, Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal.
  • João Correia
    CISUC, Department of Informatics Engineering, University of Coimbra, Portugal.
  • Ana Luísa Areia
    Obstetrics Department, University and Hospitalar Centre of Coimbra, Coimbra, Portugal.

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