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Updated: Sep 8, 2025

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使用机器学习来识别基于血液的生物标志物与种族和种族之间的后期生活健康之间的关联的差异

Mateo P Farina1, Eric T Klopack2, Eileen M Crimmins2

  • 1Department of Human Development and Family Science and the Population Research Center, University of Texas at Austin, Austin, Texas, United States.

The journals of gerontology. Series A, Biological sciences and medical sciences
|July 18, 2025
PubMed
概括

预测老年人健康状况的机器学习模型可能过度代表白人人口. 在死亡率方面,生物标志物选择在种族/族群之间有显著的差异,但在其他疾病方面则差异较小,这凸显了包容性GeroScience研究的必要性.

关键词:
生物解剖学 生物解剖学 生物解剖学生物标志物 生物标志物机器学习是机器学习.任何种族/民族群体.

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