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集体机器学习从电子健康记录中揭示了糖尿病持续时间的关键特征

Gabriel Cerono1, Davide Chicco2,3

  • 1Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

机器学习使用电子健康记录准确地预测糖尿病持续时间. 关键预测因素包括年龄,胰岛素摄入量和体重指数,在不知发病时有助于临床实践.

关键词:
数据挖掘是一种数据挖掘.糖尿病 糖尿病 糖尿病1 型糖尿病 1 型糖尿病2 型糖尿病 2 型糖尿病电子健康记录电子健康记录功能排名 功能排名医疗信息学 医疗信息学医疗信息学医学信息学有监督的机器学习.

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