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Table 8 Medical Categorizationsa

From: Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification

 

A

B

C

D

E

F

G

H

I

J

1

298,397

162,822

92,512

64,856

49,791

40,990

223,638

173,504

17,135

15,441

2

143,858

70,087

29,521

335,947

15,212

18,362

219,114

156,211

3232

2898

3

66,477

27,332

24,692

314,058

14,396

14,528

55,856

147,656

1874

1714

4

171,463

159,144

138,104

33,191

12,352

19,792

58,001

217,040

1146

1081

5

194,432

93,058

151,822

101,684

14,428

34,077

130,574

149,902

673

946

I

93,721

75,347

159,150

13,964,384

497,302

27,699,212

39,540

45,987

4,814,592

434,416

II

56,631

43,207

4846

274

372

2500

53

2158

3,467,400

2

III

65,347

45,687

33,381

60

97

9

5

21

487

2

IV

41,830

15,552

509,947

2695

40,328

90,9986

576

62,302

533

108

V

295,868

54,862

103,848

9929

158,751

106,698

9271

595,776

577,732

328

  1. aThe term in the upper left would be ‘1A’. These are often used in classifying disorders such as Hyperlipoproteinemia Type IIA or Stage 3B Lung Cancer. Note that some of the terms with Roman numerals could be confused with other medical abbreviations (e.g., VA Veterans Affairs, 1G 1 g, 3D Three-dimensional, IC Intracardiac, ID Infectious diseases). IF is a common English word (case sensitive searches were not conducted for this analysis)
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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