[Retracted] Predicting the Risk of Depression Based on ECG Using RNN

Table 1

Comparison table.

Related works	Their model	Accuracy	Our model
In [13]	CNN and LSTM architecture	97.66–99.12%	—
In [14]	Feature extraction algorithm	Not mentioned
In [15]	Cross validation	90–97%
In [16]	Machine learning model	74.4%
In [17]	LSTM autoencoder	Not mentioned
	RNN and LSTM autoencoder	97.24%