Open AccessMachine Learning Approach using CNN for COVID-19 Pandemic Detection
Author(s) -
Vikas S,
AUTHOR_ID,
Thimmaraju S N,
AUTHOR_ID
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b3302.1211221
Subject(s) - leverage (statistics) , covid-19 , computer science , machine learning , pandemic , artificial intelligence , government (linguistics) , data science , variety (cybernetics) , risk analysis (engineering) , action (physics) , infectious disease (medical specialty) , disease , computer security , business , medicine , linguistics , philosophy , physics , pathology , quantum mechanics
Data science and machine learning are domain names in which data generation can assist with inside the fight towards the disease. Early caution systems which can are expecting how much a disease might effect society and permit the authorities to take suitable measures without disrupting the economy are extremely important. In the confrontation towards COVID-19 methods for forecasting the future cases primarily based totally on present data are extremely beneficial. The preceding are three strategies of machine learning which are discussed: Two for predicting the wide variety of positive cases in the coming ten days, and one for identifying COVID-19 infection via way of means of analyzing the patient's chest x-ray image. Various algorithms had been tested, and the only that produced the maximum accurate consequences become selected for use on this take a look at to forecast confirmed cases in India. Various government entities can leverage the findings to take corrective action. Now that methods for forecasting infectious disease are available, COVID-19 can be less complicated to combat.