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Updated: Jul 21, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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在日常的共同变量选择实践中超越遗传算法的极限

D Ronchi1, E M Tosca1, R Bartolucci1,2

  • 1Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia, 27100, Pavia, Italy.

Journal of pharmacokinetics and pharmacodynamics
|July 26, 2023
PubMed
概括

这项研究引入了一种新型遗传算法 (GA),用于在人群药理动力学/药理动力学建模中对共变体进行选择. 新的GA改进了传统方法,通过降低计算成本和提高结果准确度.

关键词:
人工智能的人工智能是人工智能.自动建模模型自动建模模型选择共变量选择.遗传算法 遗传算法 遗传算法机器学习 机器学习人口PK/PD模型

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