Asset Details
Do you wish to reserve the book?
Shap‐Cov: An Explainable Machine Learning Based Workflow for Rapid Covariate Identification in Population Modeling
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Shap‐Cov: An Explainable Machine Learning Based Workflow for Rapid Covariate Identification in Population Modeling
Do you wish to request the book?
Shap‐Cov: An Explainable Machine Learning Based Workflow for Rapid Covariate Identification in Population Modeling
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Shap‐Cov: An Explainable Machine Learning Based Workflow for Rapid Covariate Identification in Population Modeling
2025
Overview
Covariate identification in population pharmacokinetic/pharmacodynamic (popPK/PD) modeling is a key component in model development that is often prone to bias, time‐consuming, and even intractable when too many covariates or complicated models are being considered. Early work leveraging machine learning (ML) for covariate screening has shown promising results over traditional methods. In this work, we expand this effort by integrating explainable machine learning facilitated by Shapley Additive Explanations (SHAP) analysis and covariate uncertainty quantification as well as a formal framework for establishing statistical significance of covariate relationships. Finally, we have packaged the proposed methodology into a flexible set of functions (shap‐cov) to support popPK/PD modeling covariate identification.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc,Wiley
We currently cannot retrieve any items related to this title. Kindly check back at a later time.