Multidimensional scaling analysis of virus diseases

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

António Mendes Lopes (Autor) FEUP; Andrade, JP (Autor) FMUP; Tenreiro Machado, JAT (Autor) Outra

Revista

Título: Computer Methods and Programs in Biomedicine

Vol. 131

Páginas: 97-110

ISSN: 0169-2607

Editora: Elsevier

Indexação

ISI Web of Knowledge - 17 Citações

Scopus - 18 Citações

Outras Informações

ID Authenticus: P-00K-CJW

DOI: 10.1016/j.cmpb.2016.03.029

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14