Journal of Global Infectious Diseases

MATHEMATICAL MODELING
Year
: 2010  |  Volume : 2  |  Issue : 1  |  Page : 35--38

A novel tool for classification of epidemiological data of vector-borne diseases


Sree Hari Rao Vadrevu1, Suryanarayana U Murty2 
1 Department of Mathematics and Statistics 202, Rolla Building 400 W 12th Street ROLLA, USA
2 Biology Division, Indian Institute of Chemical Technology, Hyderabad - 500 018, India

Correspondence Address:
Sree Hari Rao Vadrevu
Department of Mathematics and Statistics 202, Rolla Building 400 W 12th Street ROLLA
USA

In this article we present a novel tool that renders efficient classification of epidemiological data of vector-borne diseases. This algorithm has been applied on the data of the Filariasis disease and the results are compared with the well-known k-nearest neighbor algorithm.


How to cite this article:
Vadrevu SR, Murty SU. A novel tool for classification of epidemiological data of vector-borne diseases.J Global Infect Dis 2010;2:35-38


How to cite this URL:
Vadrevu SR, Murty SU. A novel tool for classification of epidemiological data of vector-borne diseases. J Global Infect Dis [serial online] 2010 [cited 2020 Dec 4 ];2:35-38
Available from: https://www.jgid.org/article.asp?issn=0974-777X;year=2010;volume=2;issue=1;spage=35;epage=38;aulast=Vadrevu;type=0