
A novel tool for classification of epidemiological data of vector-borne diseases
Author(s) -
Sree Hari Rao Vadrevu,
Suryanarayana U Murty
Publication year - 2010
Publication title -
journal of global infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 25
eISSN - 0974-8245
pISSN - 0974-777X
DOI - 10.4103/0974-777x.59248
Subject(s) - epidemiology , filariasis , computer science , vector (molecular biology) , k nearest neighbors algorithm , data mining , pattern recognition (psychology) , artificial intelligence , medicine , biology , pathology , immunology , biochemistry , helminths , gene , recombinant dna
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.