Fig. 1

Architecture of Neural Network (NN). This Figure shows the details of the NN architecture. The timed state samples, demographics information and comorbidities were fed separately to two branches which first branch contains three hidden layers with 90, 50 and 20 neurons respectively. After the first and after the second hidden layers, there is a dropout layer with a rate of 20%. Moreover, the second branch contains one hidden layer with 5 neurons. The two branches were then concatenated to a branch with three hidden layers, containing 90, 50, and 20 neurons respectively. There is a dropout layer after the second concatenated hidden layer with the rate of 30%. At the end, the output layer included softmax activation function to predict mortality of the COVID- 19 patients