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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 primipar...

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Autores principales: MAROUFIZADEH, Saman, AMINI, Payam, HOSSEINI, Mostafa, ALMASI-HASHIANI, Amir, MOHAMMADI, Maryam, NAVID, Behnaz, OMANI-SAMANI, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379600/
https://www.ncbi.nlm.nih.gov/pubmed/30788307
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author MAROUFIZADEH, Saman
AMINI, Payam
HOSSEINI, Mostafa
ALMASI-HASHIANI, Amir
MOHAMMADI, Maryam
NAVID, Behnaz
OMANI-SAMANI, Reza
author_facet MAROUFIZADEH, Saman
AMINI, Payam
HOSSEINI, Mostafa
ALMASI-HASHIANI, Amir
MOHAMMADI, Maryam
NAVID, Behnaz
OMANI-SAMANI, Reza
author_sort MAROUFIZADEH, Saman
collection PubMed
description 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 primipars. METHODS: This cross-sectional study included 2120 primipars who gave singleton birth in Tehran, Iran between 6 and 21 July 2015. To identify factor associated with CS, the classification methods were compared in terms of sensitivity, specificity, and accuracy. RESULTS: The CS rate was 72.1%. Mother’s age, SES, BMI, baby’s head circumference and infant weight were the most important determinant variables for CS as identified by the ANN method which had the highest accuracy (0.70). The association of RF predictions and observed values was 0.36 (kappa). CONCLUSION: The ANN method had the best performance that classified CS delivery compared to the RF and LR methods. The ANN method might be used as an appropriate method for such data.
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spelling pubmed-63796002019-02-20 Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods MAROUFIZADEH, Saman AMINI, Payam HOSSEINI, Mostafa ALMASI-HASHIANI, Amir MOHAMMADI, Maryam NAVID, Behnaz OMANI-SAMANI, Reza Iran J Public Health Original Article 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 primipars. METHODS: This cross-sectional study included 2120 primipars who gave singleton birth in Tehran, Iran between 6 and 21 July 2015. To identify factor associated with CS, the classification methods were compared in terms of sensitivity, specificity, and accuracy. RESULTS: The CS rate was 72.1%. Mother’s age, SES, BMI, baby’s head circumference and infant weight were the most important determinant variables for CS as identified by the ANN method which had the highest accuracy (0.70). The association of RF predictions and observed values was 0.36 (kappa). CONCLUSION: The ANN method had the best performance that classified CS delivery compared to the RF and LR methods. The ANN method might be used as an appropriate method for such data. Tehran University of Medical Sciences 2018-12 /pmc/articles/PMC6379600/ /pubmed/30788307 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
MAROUFIZADEH, Saman
AMINI, Payam
HOSSEINI, Mostafa
ALMASI-HASHIANI, Amir
MOHAMMADI, Maryam
NAVID, Behnaz
OMANI-SAMANI, Reza
Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title_full Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title_fullStr Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title_full_unstemmed Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title_short Determinants of Cesarean Section among Primiparas: A Comparison of Classification Methods
title_sort determinants of cesarean section among primiparas: a comparison of classification methods
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379600/
https://www.ncbi.nlm.nih.gov/pubmed/30788307
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