Prediction of perinatal death using machine learning models : A birth registry-based cohort study in northern Tanzania
Objective We aimed to determine the key predictors of perinatal deaths using machine learning models compared with the logistic regression model. Design A secondary data analysis using the Kilimanjaro Christian Medical Centre (KCMC) Medical Birth Registry cohort from 2000 to 2015. We assessed the discriminative ability of models using the area under the receiver operating characteristics curve (AU