IDF |
International Diabetes Federation |
T1D |
Type 1 diabetes |
T2D |
Type 2 diabetes |
GDM |
Gestational diabetes |
CHD |
Coronary heart disease |
PAD |
Peripheral arterial disease |
AI |
Artificial intelligence |
ML |
Machine learning |
ECG |
Electrocardiography |
LapSVM |
Laplacian support vector machine |
SVM |
Support vector machine |
DT |
Decision Tree |
LR |
Logistic regression |
AdaBoost |
Adaptive boosting |
URL |
Uniform resource locator |
MML |
Multi-agent machine learning |
IP |
Internet protocol |
ANN |
Artificial neural networks |
RA |
Regression algorithm |
SVR |
Support vector regression |
KNN |
K-nearest neighbor |
RF |
Random forest |
Hkmeans |
Hierarchical K-means clustering |
CGM |
Continuous glucose monitoring |
PH |
Prediction horizons |
PSO |
Particle swarm optimization |
EE |
Energy expenditure |
DR |
Diabetic retinopathy |
RDR |
Referable diabetic retinopathy |
NB |
Naive bayes |
CNN |
Convolutional neural networks |
GBDT |
Gradient-boosting decision tree |
RNN |
Recurrent neural network |
AP |
Artificial pancreas |