通过机器学习方法检测的严重出血的风险因素,在接受肝切除的患者中,控制的中央静脉低压技术进行了切除

Jing Liu1, Bingbing Cao2, Yuelian Luo2

  • 1Department of Anesthesiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China.

PubMed
概括

机器学习模型可以使用控制的中央静脉低压 (CLCVP) 技术预测肝切除期间的严重出血. 增加的普林格尔机动持续时间和乳酸水平是XGBoost模型识别的关键风险因素.

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