Table 3 The optimal combination of features for the five models.
From: Constructing a prediction model for acute pancreatitis severity based on liquid neural network
Models | Best feature combination |
|---|---|
LR | “\(\alpha\)-HBDH”, “LDH”, “CRP”, “NEU#”, “INR”, “LYM%”, “NEU%”, “Ca”, “Urea”, “AMY”, “EOS%”, “EOS#”, “HGB”, “ALB”, “BAS%”, “PCT”, “TG”, “APTT”, “RDW-SD”, “GLOB”, “CHE”, “LYM#”, “Na”, “MON%”, “MCH”, “TBIL”, “TP”, “\(CO_{2}CP\)” |
DCT | “\(\alpha\)-HBDH”, “LDH”, “NEU#”, “WBC”, “Ca”, “FIB”, “AMY”, “CK-MB”,“MON#”, “HDL-C”, “A/G”,“HCT”, “BAS%”, “TG”, “RDW-SD”,“CHE”, “LDL-C”, “MCH”, “DBIL”, “AST”, “TP”, “\(CO_{2}CP\)” |
RF | “\(\alpha\)-HBDH”, “LDH”, “CRP”, “NEU#”, “WBC”, “INR”, “NEU%”,“Cr”, “Ca”, “AMY”, “EOS%”, “CK-MB”,“HGB”, “HDL-C”, “A/G”,“BAS%”, “TG”, “APTT”, “RDW-SD”,“GLOB”, “CHE”, “RDW-CV”, “MON%”,“TBIL”, “PA”, “DBIL”, “TP”,“\(CO_{2}CP\)”, “TBA” |
XGBoost | “\(\alpha\)-HBDH”, “LDH”, “CRP”, “NEU#”, “WBC”, “INR”, “NEU%”,“Cr”, “Ca”, “Urea”, “AMY”, “EOS% ”, “CK-MB”,“EOS#”, “HGB”, “HDL-C”, “ALB”, “A/G”,“BAS%”, “PCT”, “PT%”, “APTT”, “RDW-SD”,“GLOB”, “CHE”, “LYM#”, “RDW-CV”,“MCH”, “TBIL”, “PTT”, “DBIL”, “AST”, “TP”,“\(CO_{2}CP\)” |
LNN | “\(\alpha\)-HBDH”, “CRP”, “NEU#”, “WBC”, “INR”,“Cr”, “Ca”, “Urea”, “FIB”, “AMY”, “EOS%”,“HGB”, “HDL-C”, “A/G”,“BAS%”, “TG”, “APTT”, “RDW-SD”,“RBC”, “CHE”, “LDL-C”, “RDW-CV”, “MON%”,“MCH”, “PT”, “DBIL”,“\(CO_{2}CP\)” |
