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Updated: Jan 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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多样性特征在预测建模中的价值:ACS查作为一个案例研究

Gabrielle Bunney1, Kate Miller2, Keejeong Ryu2

  • 1Department of Emergency Medicine, Stanford University, Palo Alto, CA USA.

NPJ cardiovascular health
|October 24, 2025
PubMed
概括

这项研究增强了人工智能 (AI) 模型,用于预测急性冠状动脉综合征 (ACS) 在急诊室 (ED) 患者的风险. 一个对多样性敏感的AI模型显著提高了所有人口亚组的预测准确性.

关键词:
心肌梗塞的心脏病发作不稳定的心痛.

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