Table 10.

Notations of Table 9 and their descriptions.

Notation	Description
PID	Pima Indian Diabetes Dataset
DT	Diabetes Type Dataset
CNN	Convolutional Neural Network
SVM	Support Vector Machine
LR	Logistic Regression
ANN	Artificial Neural Network
RNN	Recurrent Neural Network
LSTM	Long Short-Term Memory
RBMs	Restricted Boltzmann Machines
DBN	Deep Belief Network
DNN	Deep Neural Network
RELU	Rectified Linear Unit
DT	Decision Tree
KNN	k Nearest neighbors
RF	Random Forest
NB	Naive Bayes
AB	Ada boost
VAE	Variational Auto Encoder
SAE	Sparse Autoencoder
MLP	Multi-layer Perceptron
MLFNN	Multi-Layer Feed Forward, Neural Networks
SELU	Scaled Exponential Linear Unit
ELU	Exponential Linear Unit
Gaussian RBF	Gaussian Radial Basis Function
CPCSSN	Canadian primary care sentinel surveillance network
AI	Artificial Intelligence