Predicting ventriculoperitoneal shunt infection in children with hydrocephalus using artificial neural network

Objectives The relationships between shunt infection and predictive factors have not been previously investigated using Artificial Neural Network (ANN) model. The aim of this study was to develop an ANN model to predict shunt infection in a group of children with shunted hydrocephalus.