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xgboost model  (Janssen)

 
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    Structured Review

    Janssen xgboost model
    <t>XGBoost</t> and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.
    Xgboost Model, supplied by Janssen, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/xgboost+model/pmc12872115-32-45-36?v=Janssen
    Average 86 stars, based on 1 article reviews
    xgboost model - by Bioz Stars, 2026-07
    86/100 stars

    Images

    1) Product Images from "Stochastic Gates for Covariate Selection in Population Pharmacokinetics Modeling"

    Article Title: Stochastic Gates for Covariate Selection in Population Pharmacokinetics Modeling

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    doi: 10.1002/psp4.70147

    XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.
    Figure Legend Snippet: XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.

    Techniques Used:



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    Image Search Results


    XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: Stochastic Gates for Covariate Selection in Population Pharmacokinetics Modeling

    doi: 10.1002/psp4.70147

    Figure Lengend Snippet: XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.

    Article Snippet: In Ogami C et al. 2021 [ ], an artificial neural network (NN) was used to model individual random effects based on covariates, with SHAP (SHapley Additive exPlanations) [ ] values employed to explain the model. Janssen A et al. 2022 [ ] employed an XGBoost [ ] model instead of a NN.

    Techniques: