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评估机器学习模型在脊椎外科手术中不平衡的二进制结果分类的局限性:系统性审查

Marc Ghanem1,2,3, Abdul Karim Ghaith1,2, Victor Gabriel El-Hajj1,2,4

  • 1Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, MN 55902, USA.

Brain sciences
|December 23, 2023
PubMed
概括

本综述评估了脊柱手术的机器学习 (ML) 和深度学习 (DL) 模型,重点关注它们的性能指标. 它强调了常见的评估错误和偏见,以提高临床模型的可靠性.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.预测建模预测建模脊柱外科手术 脊柱外科手术

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