Exploratory Data Analysis of the Monkeypox Virus Using Machine Learning Article Swipe
Kiran Dhanaji Kale
,
Pranav More
,
Prabhdeep Singh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/proceedings2024105118
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/proceedings2024105118
The paper proposes the exploratory data analysis (EDA) of Monkeypox disease using machine learning approaches. Infection with the Monkeypox virus causes the uncommon illness of Monkeypox. The Monkeypox virus is a member of the Orthopoxvirus genus, which also includes the variola, vaccinia, and cowpox viruses that cause smallpox. To get the most out of the Monkeypox data, there is a need to perform some type of exploratory data analysis (EDA). This is a kind of data analysis that uses visual approaches to examine the data. Statistical summaries and graphical representations are used to detect trends and patterns, or to verify assumptions. In this paper, an exploratory data analysis of Monkeypox cases is performed using machine learning. Firstly, we find the top 10 countries based on confirmed cases, suspected cases, and hospitalized cases. Then, we find the cases with a travel history, cases without a travel history, confirmed Monkeypox cases across the globe, and suspected Monkepox cases across the globe. This will be very helpful for researchers working on machine learning and seeking patterns for Monkeypox to easily predict Monkeypox cases in their country.
Related Topics
Concepts
Monkeypox
Computer science
Artificial intelligence
Virology
Biology
Vaccinia
Recombinant DNA
Gene
Biochemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/proceedings2024105118
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401963241
All OpenAlex metadata
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https://openalex.org/W4401963241Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/proceedings2024105118Digital Object Identifier
- Title
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Exploratory Data Analysis of the Monkeypox Virus Using Machine LearningWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-27Full publication date if available
- Authors
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Kiran Dhanaji Kale, Pranav More, Prabhdeep SinghList of authors in order
- Landing page
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https://doi.org/10.3390/proceedings2024105118Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/proceedings2024105118Direct OA link when available
- Concepts
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Monkeypox, Computer science, Artificial intelligence, Virology, Biology, Vaccinia, Recombinant DNA, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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