An artificial neural network−pharmacokinetic model and its interpretation using Shapley additive explanations

• 主要な著者: Chika Ogami (著者), Yasuhiro Tsuji (著者), Hiroto Seki (著者), Hideaki Kawano (著者), Hideto To (著者), Yoshiaki Matsumoto (著者), Hiroyuki Hosono (著者)
• フォーマット: 図書
• 出版事項: Wiley, 2021-07-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract We developed a method to apply artificial neural networks (ANNs) for predicting time‐series pharmacokinetics (PKs), and an interpretable the ANN‐PK model, which can explain the evidence of prediction by applying Shapley additive explanations (SHAP). A previous population PK (PopPK) model of...