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https://www.sciencedirect.com/science/article/pii/S0002937800611924
The frequency of cesarean delivery was 17%; 78 variables were used for analysis. Decision tree rule-based methods and logistic regression models were each applied to the same 50% of the sample to develop the predictive training models and these models were tested on the remaining 50%.Author: Cynthia J. Sims, Cynthia J. Sims, Leslie Meyn, Leslie Meyn, Rich Caruana, Rich Caruana, R.Bharat Rao...
https://www.researchgate.net/publication/12242362_Predicting_cesarean_delivery_with_decision_tree_models
Decision tree models can be used to predict cesarean delivery. Models built with strict minimum message length decision trees have the following attributes: Their performance is comparable to that of logistic regression; they are small enough to be intelligible to physicians;
https://www.deepdyve.com/lp/elsevier/predicting-cesarean-delivery-with-decision-tree-models-CQQe1c9i8O
Nov 01, 2000 · Predicting cesarean delivery with decision tree models Study Design: This was a historical cohort study of women delivered of live-born singleton neonates in 1995 through 1997 (22,157). The frequency of cesarean delivery was 17%; 78 variables were used for analysis.
http://www.ijesrt.com/issues%20pdf%20file/Archive-2018/August-2018/14.pdf
The frequency of cesarean delivery is 61.61%; 33 variables are used for analysis. Decision tree model is applied to the 50% of the sample dataset to develop the predictive training models and the same is applied to the remaining 50% dataset.
https://www.academia.edu/37208475/PREDICTING_THE_MODE_OF_DELIVERY_AND_THE_RISK_FACTORS_ASSOCIATED_WITH_CESAREAN_DELIVERY_USING_DECISION_TREE_MODEL
Background: The rate of cesarean section has been increasing worldwide and particularly Tamil Nadu has more than 60% of cesarean section. Objective: The purpose of this study is to affirm and suggest that decision tree model can be used to predict
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779661/
First, this analytical strategy has improved the final discriminatory accuracy of the models for the type of delivery compared with that of the predictive models published to date. Second, the discriminatory accuracy of these models has been validated in our study by means of ten-fold cross-validation.Author: Carlos Campillo-Artero, Miquel Serra-Burriel, Andrés Calvo-Pérez
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