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Updated: Jul 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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在存在标签选择的情况下,避免偏见的临床机器学习模型性能估计

Conor K Corbin1,2, Michael Baiocchi3, Jonathan H Chen2,4,5

  • 1Department of Biomedical Data Science, Stanford, California, USA.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
|June 23, 2023
PubMed
概括

估计临床机器学习模型的性能需要仔细考虑部署人口. 这项研究表明,标签选择偏差性能指标,但因果推理权重估计器可以恢复全人口的准确估计.

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