Cargando…
A Novel Tool for Classification of Epidemiological Data of Vector-Borne Diseases
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.
Autores principales: | Vadrevu, Sree Hari Rao, Murty, Suryanarayana U |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2840967/ https://www.ncbi.nlm.nih.gov/pubmed/20300415 http://dx.doi.org/10.4103/0974-777X.59248 |
Ejemplares similares
-
Management of filariasis using prediction rules derived from data mining
por: Satya Kumar, Duvvuri Venkata Rama, et al.
Publicado: (2005) -
Modeling horizontal gene transfer (HGT) in the gut of the Chagas disease vector Rhodnius prolixus
por: Matthews, Scott, et al.
Publicado: (2011) -
Entropy based sub-dimensional evaluation and selection method for DNA microarray data classification
por: Wang, Yi, et al.
Publicado: (2008) -
Classification of anti hepatitis peptides using Support Vector Machine with hybrid Ant Colony OptimizationThe Luxembourg database of trichothecene type B F. graminearum and F. culmorum producers
por: Mishra, Gunjan, et al.
Publicado: (2016) -
Colon cancer prediction with genetic profiles using intelligent techniques
por: Alladi, Subha Mahadevi, et al.
Publicado: (2008)