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dc.creatorYadav, Milind
dc.creatorPerumal, Murukessan
dc.creatorSrinivas, M
dc.date.accessioned2020-07-27T20:50:10Z
dc.date.available2020-07-27T20:50:10Z
dc.date.created2020-10
dc.identifier.issn0960-0779spa
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S0960077920304471?via%3Dihubspa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/11232
dc.format.extent12 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.publisherChaos, Solitons and Fractalseng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectNuevo coronavirusspa
dc.subjectRegresión linear simplespa
dc.subjectRegresión polinómicaspa
dc.subjectCasos activosspa
dc.titleAnalysis on novel coronavirus (COVID-19) using machine learning methodsspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.subject.keywordNovel coronavirusspa
dc.subject.keywordSimple linear regressionspa
dc.subject.keywordPolynomial regressionspa
dc.subject.keywordSupport vector regression modelspa
dc.subject.keywordPearsonspa
dc.subject.keywordActive casesspa
dc.identifier.doihttps://doi.org/10.1016/j.chaos.2020.110050spa
dc.description.abstractenglishIn this paper, we are working on a pandemic of novel coronavirus (COVID-19). COVID-19 is an infectious disease, it creates severe damage in the lungs. COVID-19 causes illness in humans and has killed many people in the entire world. However, this virus is reported as a pandemic by the World Health Organization (WHO) and all countries are trying to control and lockdown all places. The main objective of this work is to solve the five different tasks such as I) Predicting the spread of coronavirus across regions. II) Analyzing the growth rates and the types of mitigation across countries. III) Predicting how the epidemic will end. IV) Analyzing the transmission rate of the virus. V) Correlating the coronavirus and weather conditions. The advantage of doing these tasks to minimize the virus spread by various mitigation, how well the mitigations are working, how many cases have been prevented by this mitigations, an idea about the number of patients that will recover from the infection with old medication, understand how much time will it take to for this pandemic to end, we will be able to understand and analyze how fast or slow the virus is spreading among regions and the infected patient to reduce the spread based clear understanding of the correlation between the spread and weather conditions. In this paper, we propose a novel Support Vector Regression method to analysis five different tasks related to novel coronavirus. In this work, instead of simple regression line we use the supported vectors also to get better classification accuracy. Our approach is evaluated and compared with other well-known regression models on standard available datasets. The promising results demonstrate its superiority in both efficiency and accuracy.spa


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