Performance Evaluation of AI Models for Investigating Post-COVID-19 Cardiovascular Disease

Patients often experience post COVID-19 syndrome with varied symptoms which can continue long-term cardiovascular complications. This research work proposes to focus on the consequence of Post Covid-19 infection on cardiovascular health using Artificial Intelligence (AI) models. Dataset has been collected by the researcher from hospital for early-stage prediction of Post Covid-19 cardiovascular diseases. The said dataset is assessed to detect risk factors and predict cardiovascular outcomes. Understanding the Post COVID-19 effect on different cardiovascular disease types is important for early detection, long term monitoring and predictive modelling. This study proposes to use Artificial Intelligence models to predict Cardiovascular risk in Post Covid-19 patients. Most contributing features were recognized such as inflammatory biomarkers, hemoglobin, heart rate, BMI and family history contributing to Post Covid-19 cardiovascular abnormalities. The analysis shows that Recurrent Neural Network attains best predictive results as compared to other machine learning models. The findings suggest that deep learning predictive models give an edge in enhancing early diagnosis of Covid-19 cardiovascular complications.