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Coronavirus, Corona Virus Disease-2019, brought about by an original Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2). A compelling screening of this infection can empower speedy and proficient finding of COVID-19 can diminish the weight on the medical care framework. A nitty gritty examination gave dataset can assemble unique and different kinds of AI calculations, which their exhibition could be processed and further assessed. This paper proposed a mixture information mining method that coordinated Random Forest with SVM (Support Vector Machines). The accompanying case proposed model is to beat the wide range of various Machine Learning models like SVM, Decision Tree, KNN and Logistic Regression. [ABSTRACT FROM AUTHOR]

In recent decades, the bioinformatics, biology and biotechnology plays a major role in accumulation of numerous biomedical data, which offers an in-depth analysis. On other hand, with the advent of data mining research leads to the development of scalable and efficient models for mining some interesting data pattern in case of small or large databases. It is hence essential to bridge bioinformatics with data mining models for successful implementation of finding the meaning pattern in case of biological data. In this paper, we present a comprehensive survey on various data mining models that helps in analyzing the chemical bonding and its structured index in case of sequential pattern mining. [ABSTRACT FROM AUTHOR]