A method for the automatic determination of fetus health status using Cardiotocography (CTG) and computer-based machine learning algorithms was developed. Five computation friendly were used to create multiclass classification models predict from secondary CTG dataset containing normal, suspected pathologic data available at University California Irvine Machine Learning Repository. Furthermore,...