Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients. - Jarne Verhaeghe; Sofie A. M. Dhaese; Thomas De Corte; David Vander Mijnsbrugge; Heleen Aardema; Jan G. Zijlstra; Alain G. Verstraete; Véronique Stoven; Pieter Colin; Femke Ongenae; Jan J. De Waele; Sofie Van Hoecke (BMC Medical Informatics Decis. Mak., 2022)

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. - Jarne Verhaeghe; Thomas De Corte; Christopher M. Sauer; Tom Hendriks; Olivier W. M. Thijssens; Femke Ongenae; Paul W. G. Elbers; Jan J. De Waele; Sofie Van Hoecke (Int. J. Medical Informatics, 2023)

Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients. - Jarne Verhaeghe; Thomas De Corte; Jan J. De Waele; Femke Ongenae; Sofie Van Hoecke (ICMHI, 2024)