A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis

Frontiers in Medicine

Yan-Wei Luo¹  Rong Gui¹  Le-Ping Liu¹  Qin-Yu Zhao²  Jing-Chao Luo³  Huan Wang³  Yi-Jie Zhang³  Guo-Wei Tu³  Zhe Luo⁴ 

[1] Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China;Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China;College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia;Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China;

关键词: sepsis-induced coagulopathy;    dynamic prediction;    machine learning;    Logistic Regression;    external validation;    model interpretation;   

DOI  :  10.3389/fmed.2020.637434

来源: Frontiers

【 授权许可】

CC BY