Chronic Diseases Prediction on COVID-19 Patients Using Machine Learning Techniques

Abstract

COVID - 19 pandemic has spread to more than 210 countries. Millions of people lost their lives due to COVID - 19. COVID-19 death rate is almost 2.2%. So, the majority of people are recovering from the disease. But recently a lot of peo- ple recovered from COVID 19 are developing chronic diseases (ie. Heart failure, Stroke, Chronic Kidney disease, Liver damage, Chronic Obstructive Pulmonary disease, Shock, Blood Clotting etc). which is really alarming. In our work we tried to develop a combine system to predict the after COVID - 19 chronic dis- ease probability. Here we rst developed a central model which works well for di erent individual disease predictions (heart, lungs, kidney, liver diseases). Then we worked with COVID - 19 patients data to predict the probability of chronic diseases based on the changes in di erent haematological parameters. It will help the COVID - 19 recovered patients to take precautionary measures against chronic diseases to minimize the diseases and avoid the casualties.