Table 1 Baseline characteristics of test data and processed test data.

From: A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients

 

Test data

Processed test data

0 (N=4369)

1 (N=225)

p

0 (N=1439)

1 (N=101)

p

CHD

0

4118 (94.3)

207 (92.0)

0.2079

1317 (91.5)

88 (87.1)

0.1845

1

251 (5.7)

18 (8.0)

122 (8.5)

13 (12.9)

Hype.

0

3370 (77.1)

126 (56.0)

< 0.0001

894 (62.1)

51 (50.5)

0.0268

1

999 (22.9)

99 (44.0)

545 (37.9)

50 (49.5)

AF

0

4095 (93.7)

207 (92.0)

0.3701

1324 (92.0)

87 (86.1)

0.0611

1

274 (6.3)

18 (8.0)

115 (8.0)

14 (13.9)

PE

0

4365 (99.9)

224 (99.6)

0.5969

1437 (99.9)

100 (99.0)

0.4790

1

4 (0.1)

1 (0.4)

2 (0.1)

1 (1.0)

Dysa.

0

4173 (95.5)

202 (89.8)

0.0002

1318 (91.6)

84 (83.2)

0.0073

1

196 (4.5)

23 (10.2)

121 (8.4)

17 (16.8)

SE

0

4180 (95.7)

220 (97.8)

0.1738

1405 (97.6)

100 (99.0)

0.5827

1

189 (4.3)

5 (2.2)

34 (2.4)

1 (1.0)

CI

0

2803 (64.2)

133 (59.1)

0.1428

620 (43.1)

49 (48.5)

0.3369

1

1566 (35.8)

92 (40.9)

819 (56.9)

52 (51.5)

Park.

0

4322 (98.9)

219 (97.3)

0.0630

1416 (98.4)

101 (100.0)

0.3921

1

47 (1.1)

6 (2.7)

23 (1.6)

0 (0.0)

NI

0

4072 (93.2)

197 (87.6)

0.0020

1386 (96.3)

95 (94.1)

0.3819

1

297 (6.8)

28 (12.4)

53 (3.7)

6 (5.9)

Dysp.

0

3579 (81.9)

159 (70.7)

< 0.0001

1085 (75.4)

63 (62.4)

0.0053

1

790 (18.1)

66 (29.3)

354 (24.6)

38 (37.6)

SD

0

3856 (88.3)

185 (82.2)

0.0091

1210 (84.1)

81 (80.2)

0.3755

1

513 (11.7)

40 (17.8)

229 (15.9)

20 (19.8)

RH

0

3816 (87.3)

176 (78.2)

0.0001

1095 (76.1)

68 (67.3)

0.0627

1

553 (12.7)

49 (21.8)

344 (23.9)

33 (32.7)

LH

0

3848 (88.1)

174 (77.3)

< 0.0001

1121 (77.9)

71 (70.3)

0.1003

1

521 (11.9)

51 (22.7)

318 (22.1)

30 (29.7)