Application of <scp>SHAP</scp> values for inferring the optimal functional form of covariates in pharmacokinetic modeling-Reference-Cited by-同舟云学术

Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling

Published:2022-06-24 Issue:8 Volume:11 Page:1100-1110
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacom & Syst Pharma

Author:

Janssen Alexander¹^ORCID,Hoogendoorn Mark²,Cnossen Marjon H.³,Mathôt Ron A. A.¹,Cnossen M. H.,Reitsma S. H.,Leebeek F. W. G.,Mathôt R. A. A.,Fijnvandraat K.,Coppens M.,Meijer K.,Schols S. E. M.,Eikenboom H. C. J.,Schutgens R. E. G.,Beckers E. A. M.,Ypma P.,Kruip M. J. H. A.,Polinder S.,Tamminga R. Y. J.,Brons P.,Fischer K.,van Galen K. P. M.,Heubel‐Moenen F. C. J. I.,Nieuwenhuizen L.,Driessens M. H. E.,van Vliet I.,Lock J.,Hazendonk H. C. A. M.,van Moort I.,Heijdra J. M.,Goedhart M. H. J.,Al Arashi W.,Preijers T.,de Jager N. C. B.,Bukkems L. H.,Cloesmeijer M. E.,Janssen A.,Collins P. W.,Liesner R.,Chowdary P.,Millar C. M.,Hart D.,Keeling D.,

Affiliation:

1. Department of Clinical Pharmacology, Hospital Pharmacy Amsterdam University Medical Center Amsterdam The Netherlands

2. Quantitative Data Analytics Group, Department of Computer Science, Vrije Universiteit Amsterdam Amsterdam The Netherlands

3. Department of Pediatric Hematology, Erasmus MC Sophia Children’s Hospital Erasmus University Medical Center Rotterdam The Netherlands

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12828

Reference27 articles.

1. Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables

2. Power, Selection Bias and Predictive Performance of the Population Pharmacokinetic Covariate Model

3. Frequency of Selecting Noise Variables in Subset Regression Analysis: A Simulation Study

4. GastonguayM(2011)Full covariate models as an alternative to methods relying on statistical significance for inferences about covariate effects: A review of methodology and 42 case studies. In: Annual meeting of the population approach group in Europe. Athens Greece.

5. Fast screening of covariates in population models empowered by machine learning

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable machine learning prediction of edema adverse events in patients treated with tepotinib;Clinical and Translational Science;2024-09

2. Hematoma expansion prediction based on SMOTE and XGBoost algorithm;BMC Medical Informatics and Decision Making;2024-06-19

3. Application of machine learning techniques in population pharmacokinetics/pharmacodynamics modeling;Drug Metabolism and Pharmacokinetics;2024-06

4. On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models;Journal of Pharmacokinetics and Pharmacodynamics;2024-03-26

5. Automated covariate modeling using efficient simulation of pharmacokinetics;IFAC Journal of Systems and Control;2024-03