Article

Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithm

2020-11-04

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Machine-learning (ML) algorithms allow for improved prediction of sepsis syndromes in the ED using data from electronic medical records. Transfer learning, a new subfield of ML, allows for generalizability of an algorithm across clinical sites. We aimed to validate the Artificial Intelligence Sepsis Expert (AISE) for the prediction of delayed septic shock in a cohort of patient...

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Literature Corpus work: a1cf8620-a38e-558f-86e2-8b4853fc4d47
DOI: 10.1101/2020.11.02.20224931

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