This study investigates long-term cardiovascular sequelae in COVID-19 survivors using advanced clustering methodologies. By analyzing ECG parameters, demographic information, comorbidities, and hospitalization data, three distinct clusters were identified based on heart rate variability (HRV) and ICU admissions. Cluster 0 exhibited moderate HRV with ICU admissions, Cluster 1 showed lower HRV alongside ICU admissions, and Cluster 2 displayed higher HRV with ICU admissions, all suggesting varying levels of cardiovascular risk. The robustness and stability of the clusters were validated through bootstrapping, confirming the reliability of the model. The findings underscore significant heterogen... More >