©The Author(s) 2025.
World J Gastroenterol. Sep 14, 2025; 31(34): 108807
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.108807
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.108807
Table 2 Performance metrics of the three-tier tricuspid regurgitation severity classification
| Predicted severity | Recall | ||||
| Mild | Moderate | Severe | |||
| Actual severity | Mild | 6 | 7 | 3 | 0.375 |
| Moderate | 1 | 10 | 2 | 0.769 | |
| Severe | 0 | 0 | 7 | 1 | |
| Precision | 0.857 | 0.588 | 0.583 | ||
| F-measure | 0.522 | 0.667 | 0.737 | ||
- Citation: Miida S, Kamimura H, Fujiki S, Kobayashi T, Endo S, Maruyama H, Yoshida T, Watanabe Y, Kimura N, Abe H, Sakamaki A, Yokoo T, Tsukada M, Numano F, Kashimura T, Inomata T, Fuzawa Y, Hirata T, Horii Y, Ishikawa H, Nonaka H, Kamimura K, Terai S. Image analysis of cardiac hepatopathy secondary to heart failure: Machine learning vs gastroenterologists and radiologists. World J Gastroenterol 2025; 31(34): 108807
- URL: https://www.wjgnet.com/1007-9327/full/v31/i34/108807.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i34.108807