Machine learning for early detection of sepsis: an internal and temporal validation study.

Armando D BedoyaJoseph FutomaMeredith E ClementKristin CoreyNathan BrajerAnthony LinMorgan G SimonsMichael GaoMarshall NicholsSuresh BaluKatherine HellerMark P SendakCara O'Brien

Published in: JAMIA open (2020)

We developed and validated a novel deep learning model to detect sepsis. Using our data elements and feature set, our modeling approach outperformed other machine learning methods and clinical scores.

Keyphrases

machine learning
deep learning
big data
artificial intelligence
septic shock
acute kidney injury
intensive care unit
convolutional neural network
electronic health record
data analysis