Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care
This study demonstrates that model ensembling and machine learning approaches significantly outperform standard dosing and single-model methods in predicting the optimal first dose of amoxicillin for intensive care patients, thereby enhancing target attainment without requiring initial concentration measurements.