Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling

• 主要な著者: Alexander Janssen (著者), Frank W. G. Leebeek (著者), Marjon H. Cnossen (著者), Ron A. A. Mathôt (著者), the OPTI‐CLOT study group and SYMPHONY consortium (著者)
• フォーマット: 図書
• 出版事項: Wiley, 2022-07-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Nonlinear mixed effect (NLME) models are the gold standard for the analysis of patient response following drug exposure. However, these types of models are complex and time‐consuming to develop. There is great interest in the adoption of machine‐learning methods, but most implementations ca...