Publication Type : Journal Article
Publisher : Natural Volatiles & Essential Oil
Source : Natural Volatiles & Essential Oils, Vol.8(5), pp:4583 – 4587
Url : https://www.nveo.org/index.php/journal/article/view/1436
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2021
Abstract :
The worldwide threat posed by the Severe Acute Respiratory Syndrome – Coronavirus (SARS-CoV-2) outbreak, also known as COVID-2019, has been realised. In terms of infrastructure, data sources, protective clothing, life-risk therapies, and a variety of other resources, the entire world is putting up tremendous effort to combat the spread of this fatal disease. Artificial intelligence researchers are concentrating their knowledge to create mathematical models for assessing and validating anticorona drugs/chemicals. To contribute to the well-being of living society, this article suggests the use of machine learning models with the goal of comprehending its daily exponential behaviour as well as predicting the COVID-2019’s future reachability. The KNN algorithm shows the good result when compared with all other machine learning algorithms.
Cite this Research Publication : Dr.G.Revathy, Dr. E. Sophiya, Dr.M.P.Thiruvenkatasuresh, Mrs C.P Thamil Selvi, Mrs S Irin Sherly, “Drugs For Corona Virus Prediction With Artificial Intelligence And Machine Learning”, Natural Volatiles & Essential Oils, Vol.8(5), pp:4583 – 4587