Research Explorer

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Project

Enabling personalized medicine by optimizing disease treatments with hybrid machine learning

Outputs and Outcomes

Publications

Designing a pharmacokinetic machine learning model for optimizing beta-lactam antimicrobial dosing in critically ill patients

Jarne VerhaegheThomas De CorteJan De WaeleFemke OngenaeSofie Van Hoecke

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

Jarne VerhaegheThomas De CorteChristopher M. SauerTom HendriksOlivier W.M. ThijssensFemke OngenaePaul ElbersJan De WaeleSofie Van Hoecke

A1 Journal Article in INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study

Thomas De CorteJarne VerhaegheSofie DhaeseSarah Van VoorenJerina BoelensAlain VerstraeteVeronique StoveFemke OngenaeLiesbet De BusPieter DepuydtSofie Van HoeckeJan De Waele et al.

A1 Journal Article in ANNALS OF INTENSIVE CARE

Powershap : a power-full shapley feature selection method

Jarne VerhaegheJeroen Van Der DoncktFemke OngenaeSofie Van Hoecke