Identification of AI based techniques for identification of Covid-19 on chest Xray images.

The rise in the Covid -19 cases throughout the world has put us into a devastating situation which is affecting the well-being and health of every person. The key symptoms of Corona virus disease are illness, cough, and tiredness. Since these types of the symptoms seem to be present in pneumonia patients, so this creates difficulties in detection covid cases particularly during the flu time. Initial research in this area has found irregularities in chest X-ray images of COVID-19 diseased patients. So, chest X-ray image-based disease classification has become another way to provide support in medical diagnosis. Though, manually COVID-19 detection done from set of chest X-ray images having both COVID-19 and pneumonia cases are cumbersome and prone to human error. Thus, the use of artificial intelligence (AI) techniques followed by various machine learning and deep learning algorithms has potential to enhance the current diagnosis process by learning through radiography images to predict the presence of covid-19 disease. The COVID-19 disease has shown to be a deadly illness that has harmed the human body on a global scale and is rapidly progressing. It's tough to tell the difference between COVID-19-infected and healthy people. COVID-19-infected individuals require greater caution and must be conserved using tight procedures to minimize the risk of patients who are not infected with the virus. [ABSTRACT FROM AUTHOR]