©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 4 5-fold cross-validation and sensitivity analysis results
| Analysis | Dataset configuration | Accuracy (%) | AUC (95%CI) |
| A 5-fold cross-validation | Fold 1 | 62.8 | 0.77 (0.69-0.85) |
| Fold 2 | 64.2 | 0.79 (0.71-0.87) | |
| Fold 3 | 63.5 | 0.78 (0.70-0.86) | |
| Fold 4 | 64.7 | 0.79 (0.71-0.87) | |
| Fold 5 | 63.9 | 0.78 (0.70-0.86) | |
| mean ± SD | 63.8 ± 0.7 | 0.78 ± 0.01 | |
- 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