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关于机器学习在数据驱动人口细分分析中的临床应用的范围审查

Pinyan Liu1, Ziwen Wang1, Nan Liu1,2,3

  • 1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.

Journal of the American Medical Informatics Association : JAMIA
|June 27, 2023
PubMed
概括

机器学习 (ML) 改善了医疗保健中的人口细分,但研究需要更多的外部验证和方法比较. 未来的研究应该专注于针对量身定制的医疗保健解决方案的强大的ML模型.

关键词:
数据分析数据分析.医疗服务研究 医疗服务研究机器学习是机器学习.人口健康 人口健康人口细分人口细分.

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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