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在使用机器学习算法预测心脏代谢健康结果时整合遗传学,代谢物和临床特征 - - 一个系统性审查

Xianyu Zhu1, Eduard F Ventura2, Sakshi Bansal1

  • 1Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK.

Computers in biology and medicine
|January 12, 2025
PubMed
概括

将临床,代谢物和遗传数据与机器学习 (ML) 集成,可以改善心脏代谢健康 (CMH) 的预测,特别是2型糖尿病 (T2D) 和血压 (BP). 需要进行进一步的研究,以优化CMH中生物标志物选择的ML方法.

关键词:
血压 血压 血压 血压心脏代谢健康的健康状况代谢学 代谢学 代谢学2 型糖尿病 2 型糖尿病遗传学 遗传学 遗传学 是一个机器学习是机器学习.

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