An Accurate Heart Disease Prognosis Using Machine Intelligence and IoMT

Table 6

Results of the proposed method in comparison with other methods based on image resources.

Method	Accuracy	Precision	Recall	Specificity	F-score
VGG-19 [4]	95.23	93.96	94.80	93.19	95.58
ResNeXt-101 [4]	96.15	94.00	95.42	92.98	95.99
Inception-ResNet-v2 [4]	96.48	94.07	96.14	94.11	96.04
SE-ResNet-101 [4]	97.94	95.18	97.31	95.03	98.25
Faster R-CNN with SE-ResNeXt-101 [4]	99.15	98.06	98.95	96.32	99.02
Proposed method	99.84	98.64	99.61	97.19	99.12