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Table 4 The classification results without family history related CUIs

From: Developing a portable natural language processing based phenotyping system

 

P-Micro

P-Macro

R-Micro

R-Macro

F-Micro

F-Macro

Intuitive

 LR

0.8716

0.5794

0.8716

0.5503

0.8716

0.5615

 SVM

0.8735

0.5780

0.8735

0.5546

0.8735

0.5640

 DT

0.9331

0.6159

0.9331

0.6149

0.9331

0.6154

 RF

0.8627

0.5685

0.8627

0.5462

0.8627

0.5551

Textual

 LR

0.8836

0.4372

0.8836

0.4189

0.8836

0.4262

 SVM

0.8895

0.4391

0.8895

0.4248

0.8895

0.4306

 DT

0.9475

0.5284

0.9475

0.5199

0.9475

0.5238

 RF

0.8618

0.4210

0.8618

0.4049

0.8618

0.4112

  1. For each task, the best results are bolded