Automatic Covid-19 Identification Using Machine Learning Techniques: Survey

ABSTRACT

The policies to manage the spread of diseases, tracking and predicting the growth of the diseases can effectively can be done by using Machine Learning techniques (ML). An ML can be built based on extended models that can be applied to diagnosis and find possible ways for the treatment of COVID-19 in worldwide countries. Machine learning techniques are used to provide the problems of real world by developing intelligence techniques. This survey targets on working procedure and affords the list of applications through deep convolution neural network, transfer learning, Support Vector Machine, and Linear Regression. Initially the researchers encourage the Machine learning algorithms for analyzing many domains to develop and innovates the new techniques with desirable advantages. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.