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Updated: Jan 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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

Published on: January 11, 2020

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一个机器学习框架用于认知障碍查,使用多模式大模型从语音

Shiyu Chen1, Ying Tan1, Wenyu Hu2

  • 1Laboratory of Research and Translation for Geriatric Diseases, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Youyi Road, Yuzhong District, Chongqing 400016, China.

Bioengineering (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究介绍了一种人工智能驱动的语音分析工具,用于早期发现阿尔茨海默病 (AD). 新的框架使用语音数据准确识别认知障碍,提供可扩展和非侵入性查解决方案.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.声学特征提取 提取 声学特征提取数字生物标志物数字生物标志物早期诊断 早期诊断 早期诊断机器学习是机器学习.

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