A Multi-Method Comparison of Machine Learning in predicting pharmacokinetic parameters: A simulation study

One important aim in population pharmacokinetics (PK) and pharmacodynamics (PD) is identification and quantification of the relationships between the parameter and covariates to improve the predictive performance of the population PK/PD modeling. Several new mathematical methods have been developed in pharmacokinetics in recent year which indicated that the machine learning-base methods are an appealing tool […]