Copyright
©The Author(s) 2024.
World J Orthop. Dec 18, 2024; 15(12): 1146-1154
Published online Dec 18, 2024. doi: 10.5312/wjo.v15.i12.1146
Published online Dec 18, 2024. doi: 10.5312/wjo.v15.i12.1146
Table 1 Classification performance metrics calculated on the binarized output after leave-one-out cross-validation for pes planus
| Metric name | F1 score | Accuracy | Precision (positive predictive value) | Recall (sensitivity) | Specificity | Negative predictive value |
| Metric value | 0.77 | 0.85 | 0.69 | 0.87 | 0.84 | 0.94 |
Table 2 Classification performance metrics calculated on the binarized output after leave-one-out cross-validation for pes cavus
| Metric name | F1 score | Accuracy | Precision (positive predictive value) | Recall (Sensitivity) | Specificity | Negative predictive value |
| Metric value | 0.68 | 0.95 | 0.67 | 0.70 | 0.97 | 0.97 |
- Citation: Ghandour S, Lebedev A, Tung WS, Semianov K, Semjanow A, DiGiovanni CW, Ashkani-Esfahani S, Pineda LB. Utilization of artificial intelligence in the diagnosis of pes planus and pes cavus with a smartphone camera. World J Orthop 2024; 15(12): 1146-1154
- URL: https://www.wjgnet.com/2218-5836/full/v15/i12/1146.htm
- DOI: https://dx.doi.org/10.5312/wjo.v15.i12.1146