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多模式深度学习方法,通过成像数据改善多基因风险得分

Hyeongmu Kim1, Geon Lee1, Wonil Chung2,3

  • 1Department of Statistics and Actuarial Science, Soongsil University, Seoul, 06978, Korea.

Scientific reports
|January 6, 2026
PubMed
概括

将深度学习成像得分与遗传和临床数据相结合,可显著提高青光眼预测的准确性. 图像衍生深度学习分数 (IDS) 显示出强大的预测能力,当图像数据不可用时,遗传分数可以替代成像数据.

关键词:
深度学习是一种深度学习.玻璃眼的预测 玻璃眼的预测图像衍生的深度学习得分从成像中获得的表型.采用多式联络方式的方法.多基因风险评分 (PRS)

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