Study of critical vital signs using deep learning

Abstract

As the popularity of Deep Learning grows in the Science field, it is hard to avoid experiencing and discovering the scope of this powerful tool and all it has to offer. This work explores the possibility of using Deep Learning methodologies in the Medicine framework, oriented specifically to the study of vital signs from critical patients in the ER. Using a public domain dataset taken from Massachusetts General Hospital as well as the learning modules from Python, the objective is to use Deep Learning to calculate a patient’s chances of survival based on his vital signs.