A Machine Learning Approach to Estimate the Glomerular Filtration Rate in Intensive Care Unit Patients Based on Plasma Iohexol Concentrations and Covariates.

Jean Baptiste WoillardCharlotte Salmon GandonnièreAlexandre DestereStephan EhrmannHamid MerdjiArmelle MathonnetPierre MarquetChantal Barin-Le Guellec

Published in: Clinical pharmacokinetics (2021)

Xgboost provided accurate glomerular filtration rate estimation in intensive care unit patients based on two timed blood concentrations after iohexol intravenous administration and three additional predictors.

Keyphrases

intensive care unit
end stage renal disease
machine learning
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
prognostic factors
high resolution
low dose
patient reported outcomes
mechanical ventilation
artificial intelligence
deep learning
patient reported