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Table 1 The basic characteristics of training and test sets of the 2,317 participants

From: Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease

Characteristics

Train set

Test set

Age, years

62.1 ± 12.6

61.9 ± 12.4

BMI, kg/m2

 BMI < 18.5

126(6.8%)

37(8.0%)

 18.5 ≤ BMI < 24

1009(54.4%)

248(53.4%)

 24 ≤ BMI < 28

561(30.3%)

143(30.8%)

 BMI ≥ 28

157(8.5%)

36(7.8%)

Gender

 Male

876(47.3%)

238(51.3%)

 Female

977(52.7%)

226(48.7%)

Residence

 Rural

1521(82.1%)

370(79.7%)

 Urban

332(17.9%)

94(20.3%)

Education years, years

 0

496(26.8%)

107(23.1%)

 1–6

616(33.2%)

161(34.7%)

 7–12

650(35.1%)

176(37.9%)

 ≥ 13

91(4.9%)

20(4.3%)

Annual income in thousands, Chinese Yuan

 < 50

645 (40.1%)

162(40.2%)

 50–100

646(40.2%)

175(43.4%)

 110–200

276(17.2%)

57(14.1%)

 210–300

25(1.6%)

6(1.5%)

 > 300

16(0.9%)

3(0.7%)

Marriage Status

 Married

1630(88.0%)

398 (85.8%)

 Divorced/Widowed

163(8.8%)

44(9.5%)

 Never Married

60 (3.2%)

22(4.7%)

Smoke Status

 Current smoker

279(15.1%)

79(17.0%)

 Former smoker

123(6.6%)

36(7.8%)

 Non-smoker

1451(78.3%)

349(75.2%)

Second-hand smoke exposure

 Never

1290(70.3%)

321(69.3%)

 Sometimes

308(16.8%)

72(15.6%)

 1–2 days/week

33(1.8%)

3(0.6%)

 3–5 days/week

51(2.8%)

16(3.5%)

 Almost every day

152(8.3%)

51(11.0%)

Drinking status

 Never

1316(71.0%)

326(70.3%)

 Sometimes

157(8.5%)

41(8.8%)

 < 12 years

29(1.6%)

9(1.9%)

 ≥ 12 years

351(18.9%)

88(19.0%)

COPD

 COPD

373(20.1%)

104(22.4%)

 Non-COPD

1480(79.9%)

360(77.6%)

  1. Note: Data are mean ± SD or N(%), COPD: chronic obstructive pulmonary disease, CHD: coronary heart disease