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Updated: Jun 13, 2025

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PheW2P2V:一个全现象预测框架,使用电子健康记录加权患者表示

Jia Guo1, Krzysztof Kiryluk2, Shuang Wang1

  • 1Department of Biostatistics, Columbia University, New York, NY 10032, United States.

JAMIA open
|September 16, 2024
PubMed
概括

PheW2P2V是一个全现象预测框架,它使用加权的患者向量来根据电子健康记录 (EHR) 量身定制的临床结果预测. 与基线方法相比,这种方法在疾病表型预测方面提供了卓越的性能.

关键词:
电子健康记录 (EHR) 是一种电子健康记录.患者代表,患者的代表.整个现象的预测.

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