Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Calibration Curves: Linear Least Squares
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
Multicompartment Models: Overview
Clearance Models: Noncompartmental Models
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Yeseul Jeon1, Won Chang2,3, Seonghyun Jeong1,4
1Department of Statistics and Data Science, Yonsei University, Seoul 03722, South Korea.
本研究引入了贝叶斯的方法,将卷积神经网络 (CNN) 与通用线性模型 (GLM) 结合起来. 这种方法提高了预测准确度,并允许在复杂的图像和空间数据分析中进行可解释的统计推理.
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