自动机器学习模型和特征工程的有效性,用于诊断模糊尾炎,使用临床和计算机断层扫描的发现

Juho An1, Il Seok Kim2, Kwang-Ju Kim3

  • 1Department of Emergency Medicine, Ajou University School of Medicine, World Cup-ro, Suwon, Gyeonggi-do, 16499, South Korea.

Scientific reports
|September 30, 2024
PubMed
概括

自动机器学习 (AutoGluon) 与自动功能工程 (autofeat) 改善了对不确定的急性尾炎 (AA) 病例的诊断. 将临床数据和CT扫描与这些工具相结合,比传统方法显著提高了诊断准确度.

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