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使用电子健康记录和机器学习预测20-50岁成年人早期COPD风险

Guanglei Liu1, Jiani Hu2, Jianzhe Yang2

  • 1School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China.

PeerJ
|February 27, 2024
PubMed
概括

机器学习模型可以使用常规查和临床数据准确预测慢性阻塞性肺病 (COPD) 风险. 这种方法有助于20-50岁的个体的早期检测,改善干预策略.

关键词:
慢性慢性肺炎是一种慢性慢性肺炎,COPD是一种慢性肺炎.慢性阻塞性肺病是一种慢性阻塞性肺病.早期发病 早期发病电子健康记录是电子健康记录.遗传数据 遗传数据 遗传数据机器学习是机器学习.多基因风险得分的多基因风险得分.风险预测风险预测英国生物银行

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