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Decision Tree Model of Sims et al for Predicting a Cesarean Section in a Parous Woman in Labor

Purpose:

To estimate the probability of a cesarean delivery in a parous woman in labor using the decision tree analysis of Sims et al.

Specialty:

Obstetrics & Gynecology

Objective:

risk factors, severity, prognosis, stage

ICD-10:

O32

Description:

Sims et al used decision tree analysis to predict the probability of a cesarean section being performed in a parous woman in labor. This can help triage the woman for a trial of labor. The authors are from the University of Pittsburgh, Carnegie Mellon University, University of California Los Angeles and Siemens Corporate Research Inc.

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