MACHINE LEARNING FRAMEWORK FOR COVID-19 DIAGNOSIS

Abstract

With the alarming global health crisis and pandemic, the entire medical industry and every human in this world are desperately looking for new technologies and solutions to monitor and contain the spread of this COVID-19 virus through early detection of its presence among infected patients. The early diagnosis of COVID-19 is hence critical for prevention and limiting this pandemic before it engulfs the humanity. With early diagnosis, the patient may be suggested for self-isolation (or) quarantine under medical supervision. Early detection of COVID-19 can save the patient and minimize the risk of falling prey to CoviD-19. Machine learning, a subset field of Artificial Intelligence can provide a viable solution for early diagnosis of disease and facilitate continuous monitoring of infected patients. AI based approaches can provide a view of the degree of disease severity. In general, Artificial intelligence (AI) could be a better technique for quantitative evaluation of the disease to obtain fruitful results. This paper throws light on the emerging need for AI powered solutions to foster early diagnosis of COVID-19 and suggest an ML based health monitoring framework for diagnosis of infected patients.