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Table 1 Basic demographic characteristics of the 6399 patients enrolled in the study

From: Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches

 

Ulcerative colitis N = 5128

Crohn’s disease N = 875

Intestinal tuberculosis N = 396

Sex, male(%)

2710 (52.8%)***

631 (72.1%)***

175 (44.2%)*

Age (Mean ± SD), years

42.94 ± 13.66

36.04 ± 14.15

42.21 ± 16.10

  1. *: P < 0.05; ***: P < 0.001. Null hypothesis: male (%) = 50%