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Updated: Jun 26, 2025

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在现实世界产科数据上评估分布式学习:比较分布式,集中式和本地模型

João Coutinho-Almeida1,2, Ricardo João Cruz-Correia3,4,5, Pedro Pereira Rodrigues3,4,5

  • 1CINTESIS@RISE-Centre for Health Technologies and Services Research, University of Porto, Porto, Portugal. joaofilipe90@gmail.com.

Scientific reports
|May 15, 2024
PubMed
概括

分布式学习模型在预测产科结果方面优于集中式和局部方法. 这种保护隐私的机器学习方法为临床应用提供了强大的解决方案.

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
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