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使用机器学习方法开发外科病例持续时间的预测模型

Jung-Bin Park1, Gyun-Ho Roh2, Kwangsoo Kim3,4

  • 1Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.

Journal of medical systems
|January 14, 2025
PubMed
概括

部门特定的随机森林模型显著改善了外科病例持续时间的预测. 这种数据驱动的方法通过根据独特的部门数据量身定制预测来提高手术室利用率和医院效率.

关键词:
临床决策的过程医院部门 医院部门机器学习 机器学习操作室的操作室.手术手术手术手术手术手术手术手术手术手术手术

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