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使用多式临床数据进行早期阿尔茨海默病检测的可解释的机器学习模型

Afeez Adekunle Soladoye1, Nicholas Aderinto2, Damilola Osho3

  • 1Department of Computer Engineering, Federal University Oye-Ekiti, Ekiti, Nigeria.

International journal of medical informatics
|August 29, 2025
PubMed
概括

这项研究引入了可解释的AI (XAI) 来预测阿尔茨海默病 (AD),达到95%的准确性. 关键预测因素包括功能评估和记忆问题,提高对人工智能诊断的信任.

关键词:
阿尔茨海默病可解释的人工智能美国机器学习美国

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