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  Published Paper Details:

  Paper Title

A SURVEY ON DIABETES AND HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES

  Authors

  Tintu George,  Dr.A.Hema

  Keywords

Data mining, Diabetes, Heart disease prediction

  Abstract


Diabetes is a group of metabolic diseases that is due to a high level of sugar in the blood for a long period of time. People with diabetes are also more likely to have many other conditions to raise the risk of heart disease. Diabetes and heart disease are the two most complex diseases that are globally affecting many peoples in society. According to WHO, the report says the diabetes patients list has been increasing day by day and due to diabetes 1.6 million deaths was caused in the year 2016 and by 2030 approximately 700 million peoples will be affected by diabetes worldwide. Therefore early prediction of diabetes is very necessary for that Data mining has played a main role in the field of diabetes and heart disease research. The main objective of this paper is to predict diabetes and heart disease which help doctors and many other medical practitioners to predict the disease before it occurs.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2104258

  Paper ID - 205589

  Page Number(s) - 2027-2030

  Pubished in - Volume 9 | Issue 4 | April 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Tintu George,  Dr.A.Hema,   "A SURVEY ON DIABETES AND HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.2027-2030, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104258.pdf

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


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