[Retracted] A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification

Table 5

Classification accuracies comparison with the previously proposed methods for CS prediction.

Study (year)	Method	Accuracy (%)	Balancing
Verhoeven et al. (2009) [47]	SPSS	76.00	No
Gharehchopogh et al. (2012) [26]	DT C4.5	86.25	No
Vovsha et al. (2014) [29]	LR, SVM	65.00	No
Sodsee (2014) [48]	CPD-NN, kNN	75.00	No
Maroufizadeh et al. (2018) [30]	LR, RF, ANN	70.00	No
Iftitah and Rulaningtyas (2018) [31]	Naive Bayes	90.00	No
Amin and Ali (2018) [33]	WEKA software	95.00	No
Ayyappan 2019 [49]	SMO in PUK kernel	75.00	No
Souza et al. (2019) [6]	LR	88.03	No
Saleem et al. (2019) [32]	AdaBoost	91.80	No
Lee and Ahn (2019) [50]	ANN	91.00	No
Khan et al. (2020) [51]	AdaBoost	88.69	No
Meyer et al. (2020) [52]	XGBoost	85.00	No
Abdillah et al. (2021) [35]	LDA-SVM	70.83	No
Rahman et al. (2021) [34]	SMOTE-RF	93.00	Yes
	SMOTE-SVM	94.00
Proposed method (2022)	ROSE + PCA-RF	97.12	Yes