©The Author(s) 2026.
World J Clin Cases. Feb 6, 2026; 14(4): 117700
Published online Feb 6, 2026. doi: 10.12998/wjcc.v14.i4.117700
Published online Feb 6, 2026. doi: 10.12998/wjcc.v14.i4.117700
Figure 1 SHapley Additive exPlanations analysis of best-performing models.
SHapley Additive exPlanations values were calculated for the best-performing models to investigate the effects of individual variables on predictions. The analysis demonstrates how each variable contributes to the model’s predictions for hospital-acquired functional decline. HAFD: Hospital-acquired functional decline.
- Citation: Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N. Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. World J Clin Cases 2026; 14(4): 117700
- URL: https://www.wjgnet.com/2307-8960/full/v14/i4/117700.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v14.i4.117700