Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

被引：0
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作者：
Jarne Verhaeghe
Sofie A. M. Dhaese
Thomas De Corte
David Vander Mijnsbrugge
Heleen Aardema
Jan G. Zijlstra
Alain G. Verstraete
Veronique Stove
Pieter Colin
Femke Ongenae
Jan J. De Waele
Sofie Van Hoecke
机构：
[1] Ghent University - imec,IDLab, Department of Information Technology
[2] Ghent University,Department of Internal Medicine and Pediatrics
[3] University Medical Center Groningen,Department of Critical Care
[4] Ghent University,Department of Diagnostic Sciences
[5] University Medical Center Groningen,Department of Anesthesiology
[6] Ghent University Hospital,Department of Critical Care Medicine
来源：
BMC Medical Informatics and Decision Making | / 22卷
关键词：
Critically ill; Intensive care; Machine learning; Piperacillin/tazobactam; Population pharmacokinetics; Therapeutic drug monitoring; Uncertainty quantification;
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