A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision

摘要

Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24–96 hours in advance.