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©The Author(s) 2024.
World J Gastroenterol. Mar 14, 2024; 30(10): 1377-1392
Published online Mar 14, 2024. doi: 10.3748/wjg.v30.i10.1377
Published online Mar 14, 2024. doi: 10.3748/wjg.v30.i10.1377
Table 3 Results of the XGBoost model
Group | True value | Predicted value | Accuracy (%) | |
ITB | CD | |||
Original spectral data | ITB | 17.0000 | 5.0000 | |
CD | 4.0000 | 23.0000 | ||
Specificity (%) | 0.8519 | |||
Sensitivity (%) | 0.7727 | |||
Accuracy (%) | 0.8163 | |||
First derivative spectral data | ITB | 20.0000 | 2.0000 | |
CD | 2.0000 | 25.0000 | ||
Specificity (%) | 0.9259 | |||
Sensitivity (%) | 0.9090 | |||
Accuracy (%) | 0.9184 | |||
Second derivative spectral data | ITB | 16.0000 | 6.0000 | |
CD | 1.0000 | 26.0000 | ||
Specificity (%) | 0.9630 | |||
Sensitivity (%) | 0.7270 | |||
Accuracy (%) | 0.8571 |
- Citation: Li YP, Lu TY, Huang FR, Zhang WM, Chen ZQ, Guang PW, Deng LY, Yang XH. Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning. World J Gastroenterol 2024; 30(10): 1377-1392
- URL: https://www.wjgnet.com/1007-9327/full/v30/i10/1377.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i10.1377