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An Fu1,2, Daihong Guo3, Man Zhu4

  • 1Department of Pharmacy, Medical Supplies Center of the Chinese PLA General Hospital, Beijing, 100853, China.

European journal of clinical pharmacology
|January 3, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
抗菌管理功能选择低纤维基因血症机器学习预测模型提格西克林

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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...