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This pandemic is spreading in the whole world and crossed almost 15 million cases till now. As there is no vaccine or proper treatment available, early diagnosis of the disease is quite important to control the further spread and for serving better patients as well [7]. The infection of COVID-19 can cause pneumonia and this can be detected early by using CT scan of the chest. This test can detect the COVID-19 at an early stage even if the patient is asymptomatic. As the COVID test kits are limited, Chest CT scan can be a useful source to identify whether the person is suffering from COVID-19 or not. Using CT scan, if there seems any deformity or divergence in the Lung or Chest, the person becomes more suspected to suffer from Corona Virus [8].

Figure 1.2 Diagnosis of COVID-19 using support vector based machine learning approach.

Machine Learning may present a solution for detecting COVID Infection at an early stage. A proposed machine learning model has been defined here, which can diagnose if patient is having SARS Cov 2 contagion using the CT scan images of Chest and Lungs [5].

Figure 1.2 above shows how a suspected person can be tested against corona virus infection using ML approach. First CT scan of the chest of the patient can be done by the physicians. Along with the CT scan, the preliminary data of the patient has been collected like symptoms appeared, age of patient and exposure of the patient if any. Using these images, the deformed images have been identified and that images have been processed using Support vector machine learning model. The output result obtained from SVM shows information that has been compared with the expected result to verify whether there is any probability of COVID infection to the patient or not [4].