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利用可解释的人工智能与深度学习模型组合用于痴呆症预测,以增强临床决策支持系统

Mohamed Medani1, Ghada Moh Samir Elhessewi2, Mohammed Alqahtani3

  • 1Department of Information Systems, Applied College at Mahayil, King Khalid University, Abha, Kingdom of Saudi Arabia.

Scientific reports
|May 13, 2025
PubMed
概括

由于全球患病率不断上升,早期发现痴呆症至关重要. 这项研究引入了一种新的AI模型,LXAIOA-ADPCM,用于准确预测和分类痴呆症,达到95.71%的准确性.

关键词:
数据规范化的数据规范化.痴呆症预测预测 痴呆症预测可解释性人工智能的人工智能功能选择 功能选择盖塞尔优化算法的优化算法

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