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Updated: Jul 23, 2025

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基于机器学习的疾病预防的个人健康疾病阶段图

Kazuki Nakamura1, Eiichiro Uchino2, Noriaki Sato2

  • 1Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan; Research and Business Development Department, Kyowa Hakko Bio Co., Ltd., Tokyo 100-0004, Japan.

Journal of biomedical informatics
|July 19, 2023
PubMed
概括

一个新的健康疾病阶段图 (HDPD) 可视化了个人的健康状况,并预测了疾病的发病. 在HDPD中调整生物标志物成功地预防了11种疾病中的7种疾病的未来疾病,有助于早期预防疾病.

关键词:
生物标志物 生物标志物预防疾病 预防疾病可解释的人工智能机器学习 机器学习精准医学是一门精准的医学.

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