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人工智能算法在预测急性呼吸困扰综合征方面的准确性:系统性审查和元分析

Yaxin Xiong1, Yuan Gao1, Yucheng Qi1

  • 1Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.

BMC medical informatics and decision making
|January 28, 2025
PubMed
概括

人工智能 (AI) 在预测急性呼吸困扰综合征 (ARDS) 中表现出高准确性,其综合灵敏度和特异性分别为0.81和0.88. 像CNN,SVM和XGB这样的先进模型显示出改善ARDS预测和临床应用的希望.

关键词:
急性呼吸道应急症的症状和症状人工智能的人工智能是人工智能.进行元分析分析.预测 预测 预测

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