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