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Updated: Jan 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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伪造ML:一种伪造机器学习框架,用于控制变量选择和电子健康记录数据中的风险分层

Qi Wang1, Linyan Li2,3, Yi Yang4

  • 1Department of Data Science, City University of Hong Kong, Kowloon, Hong Kong SAR.

NPJ digital medicine
|November 26, 2025
PubMed
概括

Knockoff-ML是一种新的机器学习框架,有效地从电子健康记录中识别患者的风险因素,以改善临床决策. 它比现有的评分系统提供了更高的预测能力和可解释性.

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