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Updated: Aug 14, 2026

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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机器学习多模式模型用于妄想风险分层的分层

Joseph I Friedman1,2, Prathamesh Parchure3, Fu-Yuan Cheng3

  • 1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.

JAMA network open
|May 7, 2025
PubMed
概括

这项研究开发了一种机器学习 (ML) 模型,用于在医院自动化妄想风险分层. 该模型在实践中表现良好,改善了痴呆症检测率,并可能减少药物使用.

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