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Updated: Jun 18, 2025

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对ARDS死亡率临床评估的早期预测值:一种机器学习方法

Ning Ding1,2, Tanmay Nath3, Mahendra Damarla4

  • 1Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD, 21224-6821, USA.

Scientific reports
|August 1, 2024
PubMed
概括

机器学习模型使用早期临床数据预测急性呼吸窘迫综合征 (ARDS) 的死亡率. 第三天的数据提高了预测准确度,平均气道压力是风险分层的关键指标.

关键词:
机器学习; 死亡率; 平均气道压力

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