Research Article
Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images
Table 1
Clinical characteristics of patients.
| | NTM-LD () | PTB-LD () | Chi-squared test | value |
| Cough | 27 (45.76%) | 36 (63.16%) | 3.535 | 0.060 | Sputum production | 25 (42.37%) | 31 (54.39%) | 1.676 | 0.196 | Fever | 17 (28.81%) | 20 (35.09%) | 0.525 | 0.469 | Chest pain | 3 (5.08%) | 8 (14.04%) | 2.706 | 0.100 | Hemoptysis | 7 (11.86%) | 7 (12.28%) | 0.005 | 0.945 | Fatigue | 4 (6.78%) | 1 (1.75%) | 0.766 | 0.382 | Emaciation | 4 (6.78%) | 2 (3.51%) | 0.141 | 0.707 | Shortness of breath | 1 (1.69%) | 4 (7.02%) | 0.910 | 0.340 | Smoker | 15 (25.42%) | 14 (24.56%) | 0.011 | 0.915 | Diabetes mellitus | 9 (15.25%) | 8 (14.04%) | 0.034 | 0.853 | COPD | 5 (8.47%) | 5 (8.77%) | 0.000 | 1.000 |
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COPD stands for chronic obstructive pulmonary disease; indicates significant difference. |