A Recurrent Neural Network for the Prediction of Vital Sign Evolution and Sepsis in ICU

Abstract

Sepsis is a life-threatening reaction to an infection, responsible for 6 million deaths globally each year. Moreover, this condition is one of the major cost to healthcare. Our aim is to develop a new technique for the early detection of the sepsis onset. Such an early detection would allow for the improvement of sepsis outcome.