Validation Study of Artificial Neural Network Models for Prediction of Methicillin-Resistant <i>Staphylococcus aureus</i> Carriage

Abstract

Our ANN model can be used to predict with an accuracy of more than 90% which patients carry MRSA. The false-negative rates were significantly lower than the false-positive rates in the ANN predictions, which can serve as a safety buffer in case of patient misclassification.