Research Progress of Machine Learning and Deep Learning in Intelligent Diagnosis of the Coronary Atherosclerotic Heart Disease

Table 1

AI applications in intelligent diagnosis model.

Method	Variable	Data	Measure	Value	Calculate time or cost	Paper
ML	29	303; 294; 200; 123	Accuracy	80.14%; 89.12%; 77.78%; 96.72%	—	[19]
	55	303	Accuracy	90.50%	—	[20]
DL	16	4240	AUC	0.71	More than 10 minutes	[21]
	ECG signals	38120	Accuracy	99.85%	Approximately 51 seconds to run a single epoch	[23]