对骨质疏松症预测模型进行全面的分析和绩效评估

Zahraa Noor Aldeen M Shams Alden1,2, Oguz Ata3

  • 1Faculty of Tourism Science, University of Kerbala, Kerbala, Iraq.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

深度学习使用NHANES数据准确预测骨质疏松症. 与CNN模型的相互信息功能选择实现了99%以上的准确性,识别了家庭病史和药物使用等关键风险因素.

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