A Machine Learning Approach to Predict Interdose Vancomycin Exposure.

Mehdi BououdaDavid W UsterEgor SidorovMarc LabriffePierre MarquetSebastian G WichaJean Baptiste Woillard

Published in: Pharmaceutical research (2022)

The Xgboost algorithm trained from simulation and evaluated in real patients allow accurate and precise prediction of vancomycin AUC. It can be used in combination with POPPK models to increase the confidence in AUC estimation.

Keyphrases

machine learning
end stage renal disease
newly diagnosed
methicillin resistant staphylococcus aureus
deep learning
prognostic factors
high resolution
artificial intelligence
high intensity