Rapid identification of female Culexmosquito species using Expert System in the South East Asian region

Rapid identification of mosquito (vector) species is critical for vector control and disease management. Pictorial keys of mosquito species are currently used for the identification of new mosquito species. However, this approach is not very effective. Here, we describe the use of an ID3 algorithm (...

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Detalles Bibliográficos
Autores principales: Murty, Upadhyayula Suryanarayana, Kumar, Duvvuri Venkata Rama Satya, Rao, Mutheneni Srinivasa, Reuben, Rachel, Tewari, Satish Chandra, Hiriyan, J, Akiyama, J, Akavaram, Deepa
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2005
Materias:
Web Database
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891630/
https://www.ncbi.nlm.nih.gov/pubmed/17597850
Descripción
Sumario:Rapid identification of mosquito (vector) species is critical for vector control and disease management. Pictorial keys of mosquito species are currently used for the identification of new mosquito species. However, this approach is not very effective. Here, we describe the use of an ID3 algorithm (part of artificial intelligence) for the rapid identification of the South East Asian female Culex mosquito species. AVAILABILITY: http://www.envisiict.org/

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