MULTI-CLASSIFICATION APPROACH FOR DETECTING THYROID ATTACKS

Authors

  • D.KERANA HANIREX Department of CSE,Bharath University,Chennai,India
  • DR.K.P.KALIYAMURTHIE Department of IT,Bharath University,Chennai,India

Keywords:

Bio-Data Mining, Classification, Layered Approach, Thyroid Detection System

Abstract

Thyroid is one of the crucial disease that affects people of all ages now a days. Diseases of the thyroid include conditions associated with excessive release of thyroid hormones (HyperThyroidism) and those associated with thyroid hormone deficiency ( Hypothyroidism) . In this paper we consider the Thyroid data set with multi class and propose the classification for thyroidism in a separate layer. In this work, a multi-classification approach for detecting thyroid  attacks is designed to achieve higher efficiency and to improve the detection and classification accuracy.This method finds that the method NNge provides higher efficiency to classify the thyroid attacks

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Published

30.09.2013

How to Cite

D.KERANA HANIREX, & DR.K.P.KALIYAMURTHIE. (2013). MULTI-CLASSIFICATION APPROACH FOR DETECTING THYROID ATTACKS. International Journal of Pharma and Bio Sciences, 4(3), 1246–1251. Retrieved from https://ijpbs.net/index.php/journal/article/view/2698

Issue

Volume 4, Issue 3, 2013

Section

Research Articles

Categories

License

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.