Applying Computational Classification Methods to Diagnose Congenital Hypothyroidism: A Comparative Study

•Training Support Vector Machine (SVM), Multilayer Perceptron (MLP), Chi-Squared Automatic Interaction Detector (CHAID), and Iterative Dichotomiser-3 (ID3) classifiers were used to distinguish infants having Congenital Hypothyroidism (CH) from normal infants.•Increased the accuracy of classifiers and addressed the problem of the imbalanced dataset by using Bootstrap aggregating (Bagging) and boosting techniques.•The best performance was achieved by the SVM-Bagging with precision and specificity of 100%, and an accuracy of 99.58%.