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Observational Study
©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
Table 4 5-fold cross-validation and sensitivity analysis results
Analysis
Dataset configuration
Accuracy (%)
AUC (95%CI)
A 5-fold cross-validationFold 162.80.77 (0.69-0.85)
Fold 264.20.79 (0.71-0.87)
Fold 363.50.78 (0.70-0.86)
Fold 464.70.79 (0.71-0.87)
Fold 563.90.78 (0.70-0.86)
mean ± SD63.8 ± 0.70.78 ± 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

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