在急诊室进行高效输管风险预测模型:为期4年的单中心回顾性分析

Hongbo Ding1,2,3, Xue Feng4, Qi Yang1,2,3

  • 1Department of Emergency Medicine Second Affiliated Hospital & Institute of Emergency Medicine Zhejiang University School of Medicine Hangzhou China.

概括

机器学习准确地预测了急诊室 (ED) 危急病患者的输管. 关键的风险因素包括白细胞计数,国际正常化比率,呼吸速率和pH值,使得早期干预能够改善患者的治疗结果.

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