Year 2020, Volume 3 , Issue 3, Pages 109 - 114 2020-07-01

Feature selection of Thyroid disease using Deep Learning: A Literature survey

Amir MEHRNO [1] , Recai OKTAŞ [2] , Mehmet Serhat ODABAS [3]


The thyroid hormone, which is secreted by the thyroid gland, helps regulate the body's metabolism. Thyroid disorders can range from a small, harmless goiter that does not need to be treated for life-threatening cancer. The most common thyroid problems include abnormal production of thyroid hormones. Overproduction of the thyroid leads to the thyroid and inadequate hormone production leads to hypothyroidism. Although the effects can be unpleasant or uncomfortable, many thyroid problems can be managed well if they are timely diagnosed and treated correctly. In this paper, the diagnosis of thyroid disease is investigated using deep learning based on the imperialist competitive algorithm feature selection method.
Thyroid disorders, Diagnosis, Deep Learning, feature selection method, imperialist competitive algorithm
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Primary Language en
Subjects Engineering
Journal Section Reviews
Authors

Orcid: 0000-0001-9766-5487
Author: Amir MEHRNO
Institution: ONDOKUZ MAYIS UNIVERSITY
Country: Turkey


Orcid: 0000-0003-3282-3549
Author: Recai OKTAŞ
Institution: ONDOKUZ MAYIS UNIVERSITY
Country: Turkey


Orcid: 0000-0002-1863-7566
Author: Mehmet Serhat ODABAS (Primary Author)
Institution: ONDOKUZ MAYIS ÜNİVERSİTESİ
Country: Turkey


Dates

Publication Date : July 1, 2020

Bibtex @review { bsengineering695904, journal = {Black Sea Journal of Engineering and Science}, issn = {}, eissn = {2619-8991}, address = {bsjsci@blackseapublishers.com}, publisher = {Uğur ŞEN}, year = {2020}, volume = {3}, pages = {109 - 114}, doi = {10.34248/bsengineering.695904}, title = {Feature selection of Thyroid disease using Deep Learning: A Literature survey}, key = {cite}, author = {Mehrno, Amir and Oktaş, Recai and Odabas, Mehmet Serhat} }
APA Mehrno, A , Oktaş, R , Odabas, M . (2020). Feature selection of Thyroid disease using Deep Learning: A Literature survey . Black Sea Journal of Engineering and Science , 3 (3) , 109-114 . DOI: 10.34248/bsengineering.695904
MLA Mehrno, A , Oktaş, R , Odabas, M . "Feature selection of Thyroid disease using Deep Learning: A Literature survey" . Black Sea Journal of Engineering and Science 3 (2020 ): 109-114 <https://dergipark.org.tr/en/pub/bsengineering/issue/53757/695904>
Chicago Mehrno, A , Oktaş, R , Odabas, M . "Feature selection of Thyroid disease using Deep Learning: A Literature survey". Black Sea Journal of Engineering and Science 3 (2020 ): 109-114
RIS TY - JOUR T1 - Feature selection of Thyroid disease using Deep Learning: A Literature survey AU - Amir Mehrno , Recai Oktaş , Mehmet Serhat Odabas Y1 - 2020 PY - 2020 N1 - doi: 10.34248/bsengineering.695904 DO - 10.34248/bsengineering.695904 T2 - Black Sea Journal of Engineering and Science JF - Journal JO - JOR SP - 109 EP - 114 VL - 3 IS - 3 SN - -2619-8991 M3 - doi: 10.34248/bsengineering.695904 UR - https://doi.org/10.34248/bsengineering.695904 Y2 - 2020 ER -
EndNote %0 Black Sea Journal of Engineering and Science Feature selection of Thyroid disease using Deep Learning: A Literature survey %A Amir Mehrno , Recai Oktaş , Mehmet Serhat Odabas %T Feature selection of Thyroid disease using Deep Learning: A Literature survey %D 2020 %J Black Sea Journal of Engineering and Science %P -2619-8991 %V 3 %N 3 %R doi: 10.34248/bsengineering.695904 %U 10.34248/bsengineering.695904
ISNAD Mehrno, Amir , Oktaş, Recai , Odabas, Mehmet Serhat . "Feature selection of Thyroid disease using Deep Learning: A Literature survey". Black Sea Journal of Engineering and Science 3 / 3 (July 2020): 109-114 . https://doi.org/10.34248/bsengineering.695904
AMA Mehrno A , Oktaş R , Odabas M . Feature selection of Thyroid disease using Deep Learning: A Literature survey. BSJ Eng. Sci.. 2020; 3(3): 109-114.
Vancouver Mehrno A , Oktaş R , Odabas M . Feature selection of Thyroid disease using Deep Learning: A Literature survey. Black Sea Journal of Engineering and Science. 2020; 3(3): 109-114.