Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods

Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods

Background: Over the last few decades, Cesarean section (CS) rates have increased significantly worldwide particularly in Iran. Classification methods including logistic regression (LR), random forest (RF) and artificial neural network (ANN) were used to identify factors related to CS among primipa...

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Bibliographic Details
Main Authors: Saman MAROUFIZADEH, Payam AMINI, Mostafa HOSSEINI, Amir ALMASI-HASHIANI, Maryam MOHAMMADI, Behnaz NAVID, Reza OMANI-SAMANI
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2018-12-01
Series:Iranian Journal of Public Health
Subjects:
Cesarean section
Primiparas
Artificial neural network
Random forest
Logistic regression
Classification
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/15520

Internet

https://ijph.tums.ac.ir/index.php/ijph/article/view/15520

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