| PVC | Premature Ventricular Contraction |
| ML | Machine learning |
| HF | Heart failure |
| VT | ventricular tachycardia |
| ACS | Acute Coronary Syndrome |
| CAD | Coronary artery disease |
| PVD | Peripheral vascular disease |
| HTN | hypertension |
| DM | Diabetes mellitus |
| COPD | Chronic Obstruction Pulmonary Disease |
| CKD | Chronic kidney disease |
| ESRD | end stage renal disease |
| CVA | cerebrovascular accident |
| LD | moderate or severe liver disease |
| B_blocker | beta-blockers |
| C1_AAD_Ia & Ib | Class I antiarrhythmic drugs Ia, Ib |
| C1_AAD_Ic | Class I antiarrhythmic drugs Ic |
| C3_AAD | Class III antiarrhythmic drugs |
| CCB | Calcium channel blockers |
| F1 | F1 score |
| AUC | Area under curve |
| Logi | Logistic regression |
| Cart | Decision tree |
| RF | Random forest |
| ROSE | Random over-sampling |
| SMOTE | Synthetic Minority Oversampling Technique |
| XGB | Xgboost |
| SHAP | Shapley additive explanations |