A Study of the After-Effects of COVID-19 with an Emphasis on Potential Cardio-Thoracic Diseases through a Machine Learning Outlook

The COVID-19 pandemic has shaken the world rigorously. As of now, people have learned to live with it. In this situation, after-effects of the pandemic have begun to surface rapidly. From recent studies and research works, it has been noted that after being affected by COVID-19, the patient may suffer with chest diseases, heart problems, epilepsy, or neural problems. This paper focuses on the above said perception to study and deduce the after-effects of the pandemic on the Cardio-Thoracic systems and the diseases that might surface in the future. Analysis of the data from 100+ patients from a hospital in Visakhapatnam, Andhra Pradesh, India, suggests that some patients might suffer cardiovascular problems and/or chest problems in their near future. Patients who have been exposed to the pandemic did suffer heart damage, and such risk is greater for those who already possess respiratory and cardiac problems. According to the results, those over the age of 35 are more likely to be affected by COVID-19 and are most likely to face cardio-related complications such as clots, cardiac arrest, and admission to intensive care unit (ICU) or in the worst case, death. For studying this hypothesis, the Machine Learning algorithms of K-Nearest Neighbour and Naïve Bayes have been identified for utilization in the future works of the above-said data.