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使用基于遗传和营养因素的机器学习方法预测代谢综合征:一项为期14年的前性队列研究

Dayeon Shin1

  • 1Department of Food and Nutrition, Inha University, Incheon, 22212, Republic of Korea. dyshin@inha.ac.kr.

BMC medical genomics
|September 5, 2024
PubMed
概括

机器学习模型结合全基因组多基因风险评分 (gPRS) 和生活方式因素,准确预测韩国人的代谢综合征发病率. 这些模型,特别是随机森林和AdaBoost,显示出这种慢性疾病的高预测能力.

关键词:
群组研究是一项群组研究.全基因组多基因风险评分韩国基因组和流行病学研究 (KoGES)机器学习是机器学习.代谢综合征是代谢综合征.

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