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机器学习模型通过结合多个多基因风险得分来预测血压表型

Yana Hrytsenko1,2,3, Benjamin Shea3, Michael Elgart1,2

  • 1Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Scientific reports
|May 30, 2024
PubMed
概括

非线性机器学习模型通过使用人口统计,临床和多基因风险评分数据来增强血压预测. 这些先进的模型显示出更高的准确性,特别是在多样化的群体中,突出了遗传学在个性化健康方面的潜力.

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