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Table 2 Dataset description by SMOTE algorithm

From: Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study

Clinical characteristics N (%)

T2DM

(4430)

DPN

(4430)

P value

Age

  

0.000

     18–44

256(5.8)

143(3.2)

 

     45–59

1280(28.9)

1069(24.1)

 

     60–89

2687(60.7)

2809(63.4)

 

      > 90

207(4.7)

409(9.2)

 

smoke

971(21.9)

1668(37.7)

0.000

insomnia

2061(46.5)

1342(30.3)

0.000

sweating

1199(27.1)

403(9.1)

0.000

loose teeth

1127(25.4)

1293(29.2)

0.000

dry skin

717(16.2)

995(22.5)

0.000

polyuria

162(3.7)

99(2.2)

0.000

purple tongue

329(7.4)

382(8.6)

0.038

dark red tongue

513(11.6)

3(0.1)

0.000

yellow coating

1162(26.2)

1278(28.8)

0.006

thick coating

1040(23.5)

534(12.1)

0.000

greasy coating

1149(25.9)

510(11.5)

0.000