Literature DB >> 9021267

Rule-based system for the fast identification of species of Indian Anopheline mosquitoes.

U S Murty1, K Jamil, D Krishna, P J Reddy.   

Abstract

In a developing country like India, classification and identification of the species of Anopheline mosquitoes in control operations of mosquito-borne diseases is of paramount importance. The WHO monograph, which describes the taxonomic data in the form of a pictorial key is generally difficult to understand by a non-taxonomist. Utilizing the principles of ID3 algorithm, a novel rule-based system, for the fast identification of unknown species of Indian Anopheline mosquitoes, is developed. The rule-based system is user-friendly, menu-driven and even a novice can make use of it in the identification of the unknown species with little practice. The above software is available on floppy disk and can be obtained with a minimum cost. This program can be ported on 5 1/4" or 3 1/2" floppy disk.

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Year:  1996        PMID: 9021267     DOI: 10.1093/bioinformatics/12.6.491

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  3 in total

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

Authors:  Upadhyayula Suryanarayana Murty; Duvvuri Venkata Rama Satya Kumar; Mutheneni Srinivasa Rao; Rachel Reuben; Satish Chandra Tewari; J Hiriyan; J Akiyama; Deepa Akavaram
Journal:  Bioinformation       Date:  2005-08-31

2.  Management of filariasis using prediction rules derived from data mining.

Authors:  Duvvuri Venkata Rama Satya Kumar; Kumarawsamy Sriram; Kadiri Madhusudhan Rao; Upadhyayula Suryanarayana Murty
Journal:  Bioinformation       Date:  2005-04-06

3.  A rapid identification system for metallothionein proteins using expert system.

Authors:  Bhoopathi Praveen; Savariar Vincent; Upadhyayula Suryanarayana Murty; Amirapu Radha Krishna; Kaiser Jamil
Journal:  Bioinformation       Date:  2005-04-21
  3 in total

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