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.
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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 -
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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.
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