Detalhes bibliográficos
| Resumo: | Background and Objective: Viruses are infectious agents that replicate inside organisms and reveal a plethora of distinct characteristics.Viral infections spread in many ways, but often have devastating consequences and represent a huge danger for public health. It is important to design statistical and computational techniques capable of handling the available data and highlighting the most important features. Methods: This paper reviews the quantitative and qualitative behaviour of 22 infectious diseases caused by viruses. The information is compared and visualized by means of the multidimensional scaling technique. Results: The results are robust to uncertainties in the data and revealed to be consistent with clinical practice. Conclusions: The paper shows that the proposed methodology may represent a solid mathematical tool to tackle a larger number of virus and additional information about these infectious agents. |
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| Autores principais: | Lopes, António M. |
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| Outros Autores: | Andrade, José P.; Machado, J.A.Tenreiro |
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| Assunto: | Multidimensional scaling Clustering Virus diseases |
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| Ano: | 2016 |
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| País: | Portugal |
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| Tipo de documento: | artigo |
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| Tipo de acesso: | acesso restrito |
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| Instituição associada: | Instituto Politécnico do Porto |
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| Idioma: | inglês |
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| Origem: | Repositório Científico do Instituto Politécnico do Porto |
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