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  Published Paper Details:

  Paper Title

A COMPARATIVE STUDY OF MACHINE LEARNING BASED MODEL FOR THYROID DISEASE PREDICTION

  Authors

  SURESH KUMAR KASHYAP,  DR NEELAM SAHU

  Keywords

Classification, Thyroid, Hyper Thyroid, Hypo Thyroid, Confusion matrix.

  Abstract


ABSTRACT: Thyroid disease is very common, with an estimated 20 million people in the United States having some form of thyroid disease and research studies emphasizing that approximately 43 million people in India suffer from thyroid disease. The thyroid gland is a small organ found earlier in the neck. It is shaped like a butterfly. Thyroid problems is a abnormal production of thyroid hormones. This research paper based on the prediction of thyroid disease using Decision Tree and Artificial Neural Network. This paper explains to see the separation of the best way. As a result, the operation will be completed in both segregation modes and their accuracy will be compared with the confusion matrix. It has been concluded that ANN provides better accuracy than other decision tree classifier.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2104272

  Paper ID - 205814

  Page Number(s) - 2140-2144

  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

  SURESH KUMAR KASHYAP,  DR NEELAM SAHU,   "A COMPARATIVE STUDY OF MACHINE LEARNING BASED MODEL FOR THYROID DISEASE PREDICTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.2140-2144, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104272.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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