From: DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients
Models
Accuracy
Sensitivity
Specificity
Precision
F-Score
Decision Tree [34]
0.2531
0.1563
0.6550
0.0679
0.3051
Naive Bayes [35]
0.5816
0.3041
0.7159
0.4348
0.2489
k-Nearest-Neighbours (kNN) [37]
0.4735
0.2492
0.6912
0.3237
0.1230
DeepVAQ model (A proposed model)
0.9213a
0.8431a
0.9614a
0.8762a
0.8364a