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. 2023 Jun 5;13(3):557–598. doi: 10.21037/cdt-22-438

Table 4. Characteristics of deep learning systems for CVD risk predictions (II).

SN Studies # GT GT N # AU DL # ML C CT FE HID HU LU Protocol
1 Azzorpardi et al. (78) 2 CVD, non-CVD 1 UNet × × × 4 15
2 Biswas et al. (79) 2 CVD, non-CVD 1 CNN × × × 4 10
3 Biswas et al. (80) 2 CVD, non-CVD 1 ANN × × × 3 1
4 Biswas et al. (81) 2 CVD, non-CVD 1 CNN, FNN × × 10 10
5 Jain et al. (98) 2 CVD, non-CVD 1 UNet × × × 4 10
6 Jain et al. (99) 2 CVD, non-CVD 1 HDL, SDL × × × 3 10
7 Jamthikar et al. (13) 3 CVD, non-CVD, RA 1 DL SVM × 1 ×
8 Lakadir et al. (82) 2 CVD, non-CVD 1 CNN SVM × 9 5
9 Meshram et al. (83) 2 CVD, non-CVD 1 UNet × × × 4 ×
10 Wu et al. (84) 2 CVD, non-CVD 1 DeepMAD × × × × 3 ×
11 Zhou et al. (85) 2 CVD, non-CVD 1 CNN × × × × 4 MCar*
12 Zhou et al. (86) 2 CVD, non-CVD 1 Unet++, CNN × × × 4 ×
13 Ganitidis et al. (87) 2 CVD, non-CVD 1 CNN × × × 4 4
14 Mohannadi et al. (100) 2 CVD, non-CVD 1 CNN, Unet × × × 6 ×
15 Latha et al. (101) 2 CVD, non-CVD 1 CNN × × × 3 ×
16 Otgonbaatar et al. (102) 2 Cerebrovascular Disease 3 FBP, HIR, DLR × × × × 3 ×
17 Jain et al. (103) 2 CVD, non-CVD 2 SegNet-Unet × × × 224 10
18 Ziegler et al. (88) 2 CVD, non-CVD 1 CNN, DM × × × × 11 10
19 Bortsova et al. (89) 2 CVD, non-CVD 1 DeepEnsemble × × × 4 10
20 Zhu et al. (104) 2 CVD, non-CVD 1 Unet++ × × × 2 5
21 Park et al. (105) 2 CVD, non-CVD 1 CNN × × × × 10
22 Jain et al. (90) 2 CVD, non-CVD 1 FNCNN × × × 3 2, 5, 10
23 Savaş et al. (91) 2 CVD, non-CVD 2 DNN, ANN × × × 1 3 ×
24 Washim et al. (92) 2 CVD, non-CVD 1 CFNet × × × × 5 ×
25 Sudha et al. (93) 2 CVD, non-CVD 1 CNN × × × × 4 ×
26 Groves et al. (106) 2 CVD, non-CVD 1 R-CNN × × × × 2 4
27 Saba et al. (94) 2 CVD, non-CVD 1 CNN × × × × 4 ×
28 Tsakanikas et al. (107) 2 CVD, non-CVD 1 CNN × × × × 4 ×
29 Koktzoglou et al. (95) 2 CVD, non-CVD 1 CNN × × × × 4 ×
30 Flores et al. (108) 2 CVD, non-CVD 1 CNN × × × × 4 5,10
31 Luo et al. (96) 2 CVD, non-CVD 1 CNN × × × × 4 ×
32 Xiao et al. (97) 2 CVD, non-CVD 1 CNN × × × × 4 4

CVD, cardiovascular disease; SN, serial number; # GT, ground truth; GT N, GT name; # AU, number of algorithm used; DL, deep learning; # ML C, number of ML classifier; CT, classifier type; FE, feature extraction; HID, handling imbalanced data; HU, hyperparameters used; LU, layers used.