Detection of dengue disease using artificial neural network based classification technique

  • Abstract
  • Keywords
  • References
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  • Abstract

    The information about the patients can be maintained with clinical documents. By keeping huge volume of clinical documents we can easily predict the occurrence of any disease in the patients. Dengue is considered to be one of the vital disease which are spreading in more than 110 countries. It is a vector borne disease caused by the mosquito’s of female Aedes Albopictus and Aedes Aegypti which are well suited human environment. We have implemented a data mining technique called ANN which is a well-known technique for classification of data used here to classify diseases. We have analyzed the patients’ dataset for the occurrence of dengue and experimented with Weka and Netbeans IDE and the result is proved to be more accurate than the CART algorithm. 

  • Keywords

    ANN algorithm, Dengue, ARM, Classification

  • References

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Article ID: 8978
DOI: 10.14419/ijet.v7i1.3.8978

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