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自动化功能选择用于早期形查的优化优化

Abir Chaari1, Imen Fourati Kallel2, Houda Daoud3

  • 1ATISP laboratory, ENET'com, University of Sfax, Tunisia.

Biomedical physics & engineering express
|December 21, 2024
PubMed
概括

本研究引入了一种自动化特征选择方法,以改进使用光学连贯断层扫描和电子健康记录的早期查. 这种方法提高了机器学习模型的性能,用于准确的诊断和临床管理.

关键词:
这是分类分类的分类.选择特征 选择特征 选择特征机器学习是机器学习.优化的优化优化优化.过度装配 过度装配 过度装配

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