Fig. 2

Architecture of Neural Network (NN). This Figure shows the details of the NN architecture. The timed state samples, demographics information, and the severity scores were fed separately to three branches which each branch contains three hidden layers. A batch normalization layer was added after the first hidden layer of each branch. Also, a dropout with a rate of 20% was used after the first, second, and third hidden layers. At the end, the output layer included softmax activation function to predict unplanned 30-day readmission of ICU HF patients