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. 2021 May 3;2021:5525118. doi: 10.1155/2021/5525118

Table 1.

The optimal feature subset of each machine learning method.

Features TG HDL LDL PT APTT TT INR FIB R-time K-time α MA IL-6 PCT BUN Creatinine K+ Na+ AUC
LR 0.8401
QDA 0.8653
NB 0.8646
SVM 0.8390
AdaBoost 0.8629
BP 0.8616

Abbreviations: TG: triglyceride; HDL: high-density lipoprotein; LDL: low-density lipoprotein; PT: prothrombin time; APTT: activated partial thromboplastin time; TT: thrombin time; INR: international normalized ratio; FIB: fibrinogen; R-time: reaction time; K-time: kinetic time; α: alpha angle; MA: maximum amplitude; IL-6: interleukin-6; PCT: procalcitonin; BUN: blood urea nitrogen; K+: potassium; Na+: sodium.