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  Published Paper Details:

  Paper Title

DENGUE DISEASE PREDICTION USING DATA MINING TECHNIQUES

  Authors

  KHUSHBU ARVINDBHAI PATEL,  DR.MAHAMMADIDRISH I. SANDHI

  Keywords

Dengue, Data mining, Prediction

  Abstract


Data mining is used to extract useful information from large databases or data warehouses. Data mining algorithms applied in healthcare industry play a significant role in prediction and diagnosis of the diseases. For detecting a disease, the number of tests should be required from the patient. By using the data mining technique, the number of tests can be reduced. Dengue is a threatening disease caused by Girl mosquitos.Dengue is caused by mosquito threatening the world now-a-days. If it is not curated on proper time, it will lead to death. World Health Organization (WHO) reported, dengue is prevalent in more than 81 countries all over the world.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2009190

  Paper ID - 198694

  Page Number(s) - 1424-1433

  Pubished in - Volume 8 | Issue 9 | September 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  KHUSHBU ARVINDBHAI PATEL,  DR.MAHAMMADIDRISH I. SANDHI,   "DENGUE DISEASE PREDICTION USING DATA MINING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 9, pp.1424-1433, September 2020, Available at :http://www.ijcrt.org/papers/IJCRT2009190.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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