Fig. 2

ANN model predicts MMSE with DVRs as feature variables through a tenfold CV. Batch normalization and dropout are applied after each dense layer and ReLU activation, except for the output layer. Input dimension shape was used for the first dense layer with 40 units. The next three hidden layers contain 30, 20, and 10 units. The final output layer contains only one unit with a linear activation function for the regression problem