Steps	Algorithm-1 // Pseudo Code for the Proposed Model
01	Input: Bias weight, concealed units, Epochs, Learning Rate
02	Target: Prediction of Normal/Heart Diseases
03	Bias weight, concealed units, epochs, and learning rate should be assigned at random.
04	Set the three parameters
05	Use While loop for true
06	Use equation (5) to determine the output from GRU cells
07	Use the formula (28) for determining the fitness function
08	Start the For loop from t=1 to Max. iteration
09	Use equations (25 & 26) to assign the bias weights & input layers
10	Use equation (28) for calculating the fitness function
11	Check If condition for (Fitness function is equal to threshold)
12	jump to Step 17
13	Otherwise
14	jump to Step 8
15	Stop
16	Stop
17	Calculate the Output function from Dense layers using Equation (10)
18	If Output function is equal to 1
19	//Normal or No disease is determined ⇨estimated
20	Else if (output function<=2&&>1)
21	// heart disease -1 ⇨estimated
22	Else if (output function <=3&&>2)
23	// heart disease -2 ⇨estimated
24	Else
25	jump to Step 9
26	Stop
27	Stop
28	Stop