| AI | Artificial Intelligence |
| ARIMA | AutoRegressive Integrated Moving Average |
| ARPA | Regional Environmental Protection Agency |
| CRDs | Cardiorespiratory Diseases |
| CWSM | Complex Wireless Sensors Model |
| CO | Carmon monoxide |
| CVD | Cardiovascular Disease |
| DEW | Dew Point Temperature |
| DCTs | Dates corresponding to Critical Thresholds |
| DNN | Deep Neural Network |
| DT | Decision Tree |
| ED | Emergency Department |
| EBM | Explainable Boosting Machine |
| ER | Emergency Room |
| GAMs | Generalized Additive Models |
| GBDT | Gradient Boosting Decision Trees |
| KNN | K-Nearest Neighbors |
| LASSO | Least Absolute Shrinkage and Selection Operator |
| LightGBM | Light Gradient Boosting Machine |
| LIME | Local Interpretable Model-Agnostic Explanations |
| LR | Linear Regression |
| LSTM | Long Short-Term Memory |
| MAE | Mean Absolute Error |
| MAPE | Mean Absolute Percentage Error |
| ML | Machine Learning |
| MLP | Multi-Layer Perceptron |
| MLR | Multivariable Linear Regression |
| MSE | Mean Squared Error |
| NO2 | Nitrogen Dioxide |
| NSTEMI | Non-ST-Elevation Myocardial Infarction |
| O3 | Ozone |
| P_atm | Atmospheric Pressure |
| PM10 | Particulate Matter ≤ 10 μm |
| PM2.5 | Particulate Matter ≤ 2.5 μm |
| R2 | Coefficient of determination |
| RF | Random Forest |
| RH | Relative Humidity |
| RMSE | Root Mean Squared Error |
| RRQA | Regional Air Quality Network |
| SHAP | SHapley Additive exPlanations |
| SVR | Support Vector Regression |
| Tavg | Average Temperature |
| TPEs | Tree-structured Parzen Estimators |
| UA | Unstable Angina |
| UAV | Unmanned Aerial Vehicle |
| UV | Ultraviolet Radiation |
| XAI | Explainable Artificial Intelligence |
| XGBoost | Extreme Gradient Boosting |