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  Published Paper Details:

  Paper Title

LITERATURE SURVEY ON DIFFERENT TECHNIQUES USED FOR PREDICTING DIABETES MELLITUS

  Authors

  Reshma R,  Dr.Anjana S Chandran

  Keywords

Diabetes, Machine learning, data mining, Multiperceptron, K-Nearest Neighbors ,Logistic Regression, Random forest,Random tree.

  Abstract


In today�s world diabetes is the major health challenges in India. It is a group of a syndrome that results in too much sugar in the blood. It is a protracted condition that affects the way the body mechanizes the blood sugar. Prevention and prediction of diabetes mellitus is increasingly gaining interest in medical sciences. The aim of this paper is to conduct a survey on different techniques that are used for predicting diabetes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004125

  Paper ID - 193335

  Page Number(s) - 997-1004

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Reshma R,  Dr.Anjana S Chandran,   "LITERATURE SURVEY ON DIFFERENT TECHNIQUES USED FOR PREDICTING DIABETES MELLITUS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.997-1004, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004125.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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