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Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release
ISSN: 2695 - 5075
Publisher: author
Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release
Indexed in
Medical Sciences
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1702
Publisher: Iberoamerican Journal Of Medicine Iberoamerican Journal Of..
International Journal Address (IAA):
IAA.ZONE/269557005075
eISSN
:
2695 - 5075
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Abstract
Introduction: Corona Virus Infectious Disease (COVID-19) is the infectious disease. The COVID-19 disease came to earth in early 2019. It is expanding exponentially throughout the world and affected an enormous number of human beings starting from the last month. The World Health Organization (WHO) on March 11, 2020 declared COVID-19 was characterized as “Pandemicâ€. This paper proposed approach for confirmation of COVID-19 cases after the diagnosis of doctors. The objective of this study uses machine learning method to evaluate how much predicted results are close to original data related to Confirmed-Negative-Released-Death cases of COVID-19. Materials and methods: For this purpose, a verification method is proposed in this paper that uses the concept of Deep-learning Neural Network. In this framework, Long shrt-term memory (LSTM) and Gated Recurrent Unit (GRU) are also assimilated finally for training the dataset. The prediction ...
