A quantitative exploration of gastrointestinal bleeding in intensive care unit patients.

Published in: PloS one (2019)

This study introduces a novel method of processing retrospective laboratory data to characterize the course of bleeds within the gastrointestinal tract. This method is used to examine the direct effects of bleeding on a patient and can be deployed in future studies of bleeding using retrospective data.

Keyphrases

intensive care unit
end stage renal disease
electronic health record
atrial fibrillation
ejection fraction
cross sectional
newly diagnosed
chronic kidney disease
big data
prognostic factors
high resolution
machine learning
patient reported outcomes
artificial intelligence