Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review.

Melissa Y Yan Lise Tuset Gustad Øystein Nytrø

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

Approaches were heterogeneous, but studies showed that utilizing both unstructured text and structured data in ML can improve identification and early detection of sepsis.

Keyphrases

machine learning
acute kidney injury
septic shock
intensive care unit
smoking cessation
big data
bioinformatics analysis
electronic health record
artificial intelligence
case control