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Updated: Jun 10, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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在基于症状的健康检查器中提高诊断准确性:采用全方位的机器学习方法,使用临床细节和基准测试来进行诊断

Leila Aissaoui Ferhi1,2, Manel Ben Amar1,2,3, Fethi Choubani2

  • 1Virtual University of Tunis, Tunis, Tunisia.

Frontiers in artificial intelligence
|October 18, 2024
PubMed
概括

这项研究优化了基于症状的健康检查器的机器学习模型,发现ROC-AUC和精度回忆曲线等高级评估指标可以提高诊断工具的可靠性和灵敏性.

关键词:
在ROC/AUC曲线上,基准测试 (benchmarking) 是一种比较的方法.临床记载 临床记载 临床记载混矩阵是一个混矩阵.健康检查员健康检查员机器学习是机器学习.精确回忆曲线的曲线症状 症状 症状 症状 症状

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