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Updated: May 20, 2025

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使用XGBoost预测医院门诊量:一种机器学习方法

Lingling Zhou1, Qin Zhu1, Qian Chen1

  • 1Department of Information, Daping Hospital, Army Medical University, Chongqing, 400042, China.

Scientific reports
|May 16, 2025
PubMed
概括

使用XGBoost机器学习预测医院门诊患者的数量,提供了卓越的准确性. 这种方法有效地整合了环境因素和医疗保健资源,以提高运营效率.

关键词:
气候数据 气候数据医院资源规划 医院资源规划机器学习是机器学习.门诊患者的体积量 门诊患者的体积预测分析是一种预测分析.在XGBoost中使用.

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