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Title: :  DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH
PaperId: :  26421
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26421
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
P. ShamiullaKV SUBBA REDDY ENGINEERING COLLEGE
H Ateeq AhmedKV SUBBA REDDY ENGINEERING COLLEGE
M. HarishKV SUBBA REDDY ENGINEERING COLLEGE
P. Praveen KumarKV SUBBA REDDY ENGINEERING COLLEGE
G. Madhu KrishnaKV SUBBA REDDY ENGINEERING COLLEGE
A. SreekanthKV SUBBA REDDY ENGINEERING COLLEGE

Abstract

COMPUTER SCIENCE AND ENGINEERING
Thyroid Disease, Machine Learning, Classification, Decision Tree (ID3), Naive Bayes Algorithm
Classification based Machine learning plays a major role in various medical services. In medical field, the salient and demanding task is to diagnose patient’s health conditions and to provide proper care and treatment of the disease at the initial stage. Let us consider Thyroid disease as the example. The normal and traditional methods of thyroid diagnosis involve a thorough inspection and also various blood tests. The main goal is to recognize the disease at the early stages with a very high correctness. Machine learning techniques play a major role in medical field for making a correct decision, proper disease diagnosis and also saves cost and time of the patient. The purpose of this study is prediction of thyroid disease using classification Predictive Modelling followed by binary classification using Decision Tree ID3 and Naive Bayes Algorithms. The Thyroid Patient dataset with proper attributes are fetched and using the Decision Tree algorithm the presence of thyroid in the patient is tested. Further, if thyroid is present then Naïve Bayes algorithm is applied to check for the thyroid stage in the patient.

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IJARIIE P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. "DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 181-188
MLA P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. "DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 181-188.
APA P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, & A. Sreekanth. (2025). DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 181-188.
Chicago P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. "DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 181-188.
Oxford P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. 'DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 181-188. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTION_OF_THYROID_DISORDERS_USING_MACHINE_LEARNING_APPOARCH_ijariie26421.pdf (Accessed : ).
Harvard P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. (2025) 'DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 181-188IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTION_OF_THYROID_DISORDERS_USING_MACHINE_LEARNING_APPOARCH_ijariie26421.pdf (Accessed : )
IEEE P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth, "DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 181-188, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTION_OF_THYROID_DISORDERS_USING_MACHINE_LEARNING_APPOARCH_ijariie26421.pdf [Accessed : ].
Turabian P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. "DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver P. Shamiulla, H Ateeq Ahmed, M. Harish, P. Praveen Kumar, G. Madhu Krishna, and A. Sreekanth. DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCH. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 181-188. Available from: https://ijariie.com/AdminUploadPdf/DETECTION_OF_THYROID_DISORDERS_USING_MACHINE_LEARNING_APPOARCH_ijariie26421.pdf
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