Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study

Abstract

We have developed an explainable deep learning model that can predict IBI in febrile infants aged 0-60 days. The model not only performs better than previous scoring systems, but also provides insight into how it arrives at its predictions through individual features and cases.