Table 3.
SN | Citations | Year | DFIa | DMb | CVDc | DId | WIe | AIf | RSg | ClassTyh | ML/DLj | ACC %k | AUCl | SENm | SPEn | F1o |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Parthiban et al. [127] | 2012 | ✕ | ✓ | ✓ | ✕ | ✕ | ✓ | ✕ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ |
2 | Jelinek et al. [128] | 2016 | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
3 | Zarkogianni et al. [129] | 2017 | ✕ | ✕ | ✓ | ✓ | ✕ | ✓ | ✕ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ |
4 | Segar et al. [131] | 2019 | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
5 | Dinh et al. [101] | 2019 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ |
6 | Aggarwal et al. [116] | 2020 | ✓ | ✕ | ✕ | ✓ | ✕ | ✓ | ✕ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ |
7 | Derevitskii et al. [115] | 2020 | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
8 | Karhu et al. [86] | 2022 | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
9 | Schuett et al. [87] | 2022 | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
10 | Hossain et al. [132] | 2021 | ✓ | ✓ | ✓ | ✕ | ✓ | ✓ | ✕ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ |
11 | Longato et al. [103] | 2021 | ✓ | ✓ | ✓ | ✕ | ✕ | ✓ | ✕ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ |
12 | Hyerim et al. [102] | 2021 | ✓ | ✓ | ✓ | ✕ | ✕ | ✓ | ✕ | ✓ | ✓ | ✓ | ✓ | ✕ | ✕ | ✕ |
13 | Maindarkar et al. (proposed) | 2022 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
DFIa: Diabetic foot Infection, DMb: Diabetic Melliuties, CVDc: Cardiovascular diseases, WId: Wound Imaging, CIe: Carotid Imaging AIf: Artificial Intelligence, RSg: Risk Stratification, ClassTYh: Type of Classifier, ACCk: Accuracy, AUCl: Area under curve, SENm: Sensitivity, SPEn: Specificity.