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Yonghan Cha1, Sung Hyo Seo2, Jung-Taek Kim3

  • 1Department of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.

Journal of bone metabolism
|September 18, 2023
PubMed
概括

机器学习 (ML) 有效地识别了骨质疏松症风险因素,突出了男性和女性之间的关键差异. 这项研究强调数据预处理和特征选择,以获得准确的骨质疏松症预测模型.

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