Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation

被引：0
|
作者：
Shu Zhou
Zongqing Lu
Yu Liu
Minjie Wang
Wuming Zhou
Xuanxuan Cui
Jin Zhang
Wenyan Xiao
Tianfeng Hua
Huaqing Zhu
Min Yang
机构：
[1] the Second Affiliated Hospital of Anhui Medical University,The 2nd Department of Intensive Care Unit
[2] the Second Affiliated Hospital of Anhui Medical University,The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine
[3] the Second Affiliated Hospital of Anhui Medical University,Emergency Internal Medicine
[4] Anhui University,Key Laboratory of Intelligent Computing and Signal Processing
[5] Ministry of Education,Laboratory of Molecular Biology and Department of Biochemistry
[6] Anhui Medical University,undefined
来源：
European Journal of Medical Research | / 29卷
关键词：
Sepsis induced coagulopathy; Gradient boosting decision tree; Machine learning; Shapley additive explanations; Local interpretable model-agnostic explanations;
D O I：
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