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dc.contributor.authorTripathi, Amitesh
dc.contributor.authorGupta, Devashish
dc.contributor.authorRanjan, Dr.Raju
dc.date.accessioned2023-12-07T10:12:57Z
dc.date.available2023-12-07T10:12:57Z
dc.date.issued2022
dc.identifier.urihttp://10.10.11.6/handle/1/12292
dc.description.abstractThe idea is to stop the transmission by prioritizing tests and hence detecting the cases quickly. Data can be collected on the symptoms of COVID-19. An AI model is then prepared on the information to discover the likelihood of an individual having the infection.The model is then used to discover whom to test for the contamination first under a restricted testing capacity.The same model can be utilized to track down possible contender for leading arbitrary tests..In this we also include that person is suffering which type of disease like Dengue and Chickenpox. A team of doctors can sit down to find out the best model parameters.en_US
dc.language.isoen_USen_US
dc.publisherGALGOTIAS UNIVERSITYen_US
dc.subjectWorld Health Organisation, COVID, SAARCen_US
dc.subjectComputer Science, Engineering, Machine Learningen_US
dc.titleHealth Management System For Covid-19 Using Machine Learningen_US
dc.typeTechnical Reporten_US


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