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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2018
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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. |
format | Online Article Text |
id | pubmed-6379600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
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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