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Analysis and Prediction of COVID-19 using Machine Learning:
, In:
2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
,
Parthiban, M.
;
Alphy, Anna
- p. 1-7 , 2024
Link:
https://doi.org/10.1109/ACCAI61061.2024.10602005
RT T1 <cTitle>2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)</cTitle>: T1 <Title>Analysis and Prediction of COVID-19 using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10602005&Exemplar=1&LAN=DE A1 Parthiban, M. A1 Alphy, Anna YR 2024 K1 COVID-19 K1 Analytical models K1 Accuracy K1 Machine learning algorithms K1 Computational modeling K1 Decision making K1 Predictive models K1 XGBOOST K1 Random-forest K1 Binary Classification K1 Data Analysis K1 Predictive Modelling SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ACCAI61061.2024.10602005 DO https://doi.org/10.1109/ACCAI61061.2024.10602005 SF ELIB - SuUB Bremen
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