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基于机器学习的模型选择和平均值优于单模型方法对先验的万科米辛精确剂量.

Wisse van Os1,2, Amaury O'Jeanson3, Carla Troisi4

  • 1Division of Systems Pharmacology & Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.

CPT: pharmacometrics & systems pharmacology
|July 30, 2025
PubMed
概括

机器学习 (ML) 模型可以指导选择适当的人口药代动力学 (PK) 模型用于万科米辛剂量. 这可以在没有治疗药物监测 (TDM) 样本的情况下提高精确剂量,从而使患者具体预测更加准确.

关键词:
在XGBoost中使用.机器学习是机器学习.基于模型的精确剂量 (MIPD)多个标签分类的分类.人口的药理动力学治疗药物监测 (TDM) 治疗药物监测这就是Vancomycin.

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