Predicting Ailment of Thyroid Using Classification and Recital Indicators

Authors

  • A. Kiruthika  Department of Computer Science, Hindusthan College of Arts And Science, Coimbatore, Tamil Nadu, India
  • P. Deepika  Department of Computer Science, Hindusthan College of Arts And Science, Coimbatore, Tamil Nadu, India
  • Dr. S. Sasikala  Department of Computer Science, Hindusthan College of Arts And Science, Coimbatore, Tamil Nadu, India
  • S. Saranya  Department of Computer Science, Hindusthan College of Arts And Science, Coimbatore, Tamil Nadu, India

Keywords:

Thyroid Using Classification, Recital Indicators, Data Mining, Diseases,Health Care Domain, Hyperthyroidism and hypothyroidism, Levothyroxine, UCI Repository

Abstract

Thyroid disease is one of the deadly diseases for human. Data mining is the popular area which helps to provide various methodologies to predict and identification of various diseases in health care domain. The medical data having vast amount of data and classifying these data is one the challenging task. Moreover data mining technique has been applied in various sectors the classification results of the medical dataset which helps the way of treatments to the patients.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
A. Kiruthika, P. Deepika, Dr. S. Sasikala, S. Saranya, " Predicting Ailment of Thyroid Using Classification and Recital Indicators , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1481-1485, March-April-2018.