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在患有的儿科患者中预测瓦尔酸的剂量:人口药理动力学模型还是机器学习模型?

Jingcheng Chen1,2, Jiacheng Wang3,4, Kai Li1,2

  • 1Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China.

European journal of clinical pharmacology
|July 5, 2025
PubMed
概括

机器学习和神经网络优于传统的PopPK模型,可以预测儿科患者的酸度,从而实现个性化剂量和减少血液测试.

关键词:
是一种病.机器学习是机器学习.神经网络,计算机,计算机儿科 儿科 儿科药理动力学 药理动力学瓦尔酸是一种酸.

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