Multidimensional scaling analysis of virus diseases

• Type: Article in International Scientific Journal
• Date: 2016

Authors

António Mendes Lopes (Author) FEUP; Andrade, JP (Author) FMUP; Tenreiro Machado, JAT (Author) Other

Journal

Title: Computer Methods and Programs in Biomedicine

Vol. 131

Pages: 97-110

ISSN: 0169-2607

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 17 Citations

Scopus - 18 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14