Open Access   Article Go Back

Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review

Anuradha Shyam1 , Mohanrao Mamdikar2 , Pooja Patre3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 1121-1125, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.11211125

Online published on Mar 31, 2019

Copyright © Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre, “Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.1121-1125, 2019.

MLA Style Citation: Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre "Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review." International Journal of Computer Sciences and Engineering 7.3 (2019): 1121-1125.

APA Style Citation: Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre, (2019). Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review. International Journal of Computer Sciences and Engineering, 7(3), 1121-1125.

BibTex Style Citation:
@article{Shyam_2019,
author = {Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre},
title = {Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {1121-1125},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3976},
doi = {https://doi.org/10.26438/ijcse/v7i3.11211125}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.11211125}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3976
TI - Thyroid Disease Detection and Classification using Machine Learning Techniques: A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Anuradha Shyam, Mohanrao Mamdikar, Pooja Patre
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 1121-1125
IS - 3
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
500 341 downloads 206 downloads
  
  
           

Abstract

The thyroid is one in every of the foremost necessary organ in our body. It secretes thyroid hormones that area unit to blame for dominant metabolism. The less secretion endocrine causes adenosis and far secretion of thyroid causes glandular disease. For deciding, data processing technique is principally employed in tending sectors, sickness identification and giving higher treatment to the patients. during this paper we`ve got bestowed an summary and comparison of assorted existing data processing techniques used for thyroid diseases identification. most ordinarily used techniques area unit call Tree, Support Vector Machine and Neural Networks that has been resulted as a high accuracy. the most objective of this study are to hold out the survey of knowledge mining techniques accustomed identification of assorted thyroid ailments, to gift the techniques used and its accuracy.

Key-Words / Index Term

Thyroid diseases, Neural network, Support Vector Machine, Decision tree, KNN, Learning Vector Quantization, etc.

References

[1] Dr. Sahai BS, Thyroid Disorders[online]. Available :Http://www.homoeopathyclinic.com/articles/diseases/tyroid.pdf.
[2]http://www.foxnews.com/health/2012/02/10/hypothyroidism–versus-hyperthyroidism.html
[3]Nikita Singh, Alka Jindal, “A Segmentation Method and Comparison of Classification Methods for Thyroid Ultrasound Images”, International Journal of Computer Applications (0975 – 8887) Volume 50 – No.11, July 2012
[4] Mary C. Frates, Carol B. Benson, J.WilliamCharboneau and Edmund S. “Management of Thyroid Nodules Detected at US: Society of Radiologists in US consensus”, conference statement management of thyroid nodules detected at US Volume 237, Number3.
[5] F. S. Gharehchopogh, M. Molany and F. D.Mokri, ”Using Artificial Neural Network In Diagnosis Of Thyroid Disease: A Case Study”, International Journal on Computational Sciences &Applications (IJCSA) Vol.3, No.4, August 2013
[6] ShivaneePandey, RohitMiri, S. R. Tandan, "Diagnosis and Classification of Hypothyroid Disease Using Data Mining Technique", TJERT, June 2013.
[7] AnupamShukla, PrabhdeepKaur, RituTiwari and R.R. Janghel, Diagnosis of Thyroid disease using Artificial Neural Network. In Proceedings of IEEE IACC 2009, pages 1016-1020.
[8] FeyzullahTemurtas” A comparative study on thyroid disease diagnosis using neural networks” Expert Systems with Applications 36 (2009) 944–949.
[9]Li-Na Li,Ji-Hong Ouyang ,Hui-Ling Chen &Da-You Liu”A Computer Aided Diagnosis System for Thyroid Disease
Using Extreme Learning Machine”J Med Syst (2012) 3327–3337.
[10] SumanPandey, Deepak Kumar Gour, Vivek Sharma” Comparative Study on Classification of Thyroid Diseases” International Journal of Engineering Trends and Technology (IJETT) – Volume 28 Number 9 - October 2015.
[11]G. RasithaBanu“ A Role of decision Tree classification data Mining Technique in Diagnosing Thyroid disease” International Journal of Computer Sciences and EngineeringVolume-4, Issue-11 2016.
[12]. Muhammad Anjum Qureshi, Kubilay Eksioglu, “Expert Advice Ensemble for Thyroid Disease Diagnosis”, IEEE, 2017.
[13] Jamil Ahmed, M. Abdul Rehman Soomrani,” TDTD: Thyroid Disease Type Diagnostics”, IEEE, 2016.
[14]. Ahmad Taher Azar , Aboul Ella Hassanien, “Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis”, IEEE, 2018.
[15] Keles,et al ESTDD: expert system for thyroid diseasesdiagnosis. Expert Syst. Appl. 34(1):242–246, 2008.
[16] Feyzullah Temurtas” A comparative study on thyroid disease diagnosis using neural networks” Expert Systems with Applications 36 (2009) 944–949.
[17]Li-Na Li,Ji-Hong Ouyang ,Hui-Ling Chen &Da-You Liu”A Computer Aided Diagnosis System for Thyroid Disease
Using Extreme Learning Machine”J Med Syst (2012) 3327– 3337.
[18]Prerana, Parveen Sehgal, Khushboo Taneja”Predictive Data Mining for Diagnosis of Thyroid Disease using Neural Network” International Journal of Research in Management, Science & Technology Vol. 3, No. 2, April 2015.
[19] S. Sathya Priya, Dr. D. Anitha ”Survey on Thyroid Diagnosis using Data Mining Techniques” International Journal of Advanced Research in Computer and Communication Engineering Vol. 6, Special Issue 1, January 2017.
[20] Zhang GP, Berardi. An investigation of neural network in thyroid function diagnosis. Health Care Management Science, 1998;1:29-37
[21] Suman Pandey, Deepak Kumar Gour, Vivek Sharma” Comparative Study on Classification of Thyroid Diseases” International Journal of Engineering Trends and Technology (IJETT) – Volume 28 Number 9 - October 2015.
[22]G. Rasitha Banu “ A Role of decision Tree classification data Mining Technique in Diagnosing Thyroid disease” International Journal of Computer Sciences and Engineering Volume-4, Issue.