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Updated: Jun 19, 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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从自我报告的症状中早期发现主观认知衰退:一种可解释的注意力成本融合方法

Simon Bin Akter1, Sumya Akter1, Rakibul Hasan2

  • 1Martin Tuchman School of Management, New Jersey Institute of Technology, Newark, 07102, NJ, USA.

Journal of biomedical informatics
|January 5, 2025
PubMed
概括

一个人工智能模型有效地使用健康和人口数据检测主观认知衰退 (SCD). 注意力成本卷积神经网络 (AC-CNN) 在识别有风险的个体方面显示出更高的准确性,即使使用不平衡的数据集.

关键词:
行为风险因素监测系统 (BRFSS)道智的注意力注意力.具有成本敏感性的学习.可解释的人工智能 (XAI)主观认知能力下降 (SCD)

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