dc.contributor.author | Tripathi, Amitesh | |
dc.contributor.author | Gupta, Devashish | |
dc.contributor.author | Ranjan, Dr.Raju | |
dc.date.accessioned | 2023-12-07T10:12:57Z | |
dc.date.available | 2023-12-07T10:12:57Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://10.10.11.6/handle/1/12292 | |
dc.description.abstract | The 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.iso | en_US | en_US |
dc.publisher | GALGOTIAS UNIVERSITY | en_US |
dc.subject | World Health Organisation, COVID, SAARC | en_US |
dc.subject | Computer Science, Engineering, Machine Learning | en_US |
dc.title | Health Management System For Covid-19 Using Machine Learning | en_US |
dc.type | Technical Report | en_US |