The performance of the models were evaluated using a number of known standard evaluation metrics such as precision, recall, and f-measure. In particular, this research work shows that decision tree, naïve bayes, support ...

Embedded random forest is used as feature selection techniques. Binning is used to discretizing numerical variables into fewer categorical counterparts. Then, different experiments are done using homogenous ensemble methods ...

Fetus, Stillbirths, Cardiotocogram, Fetal health rate, Uterine contractions, Machine learning

Information retrieval, Proximity model, Amharic language

Immunization status, Ensemble Machine learning, Vaccination, Prediction model

Classification, Deep Learning, Malaria, Transfer Learning, hyper tuning parameters

Child under-five mortality, ClimChild under-five mortality, Climate change, Machine learning, Tabnet, Determinant factorsate change, Machine learning, Tabnet, Determinant factors

Abstract—Health systems bear a crucial responsibility for the well-being of individuals across their entire lifespan. Accurate prediction of the delivery date for childbirth is of paramount importance for both the ...

Teaching practice is a vital component of pre-service teacher education, designed to bridge the gap between theoretical knowledge and its practical application in educational settings. This supervised experience fosters ...