Thyroid Disease Classification using Machine Learning Algorithms
Thyroid gland is one of the body’s most important glands because it regulates the metabolism of the human body. It controls how the body works by releasing specific hormones into the blood. The two different hormone disorders are hypothyroidism and hyperthyroidism. When these disorders occur, the th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01141.pdf |
| _version_ | 1797807770481721344 |
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| author | Ram Kumar R.P. Sri Lakshmi M. Ashwak B.S. Rajeshwari K. Md Zaid S. |
| author_facet | Ram Kumar R.P. Sri Lakshmi M. Ashwak B.S. Rajeshwari K. Md Zaid S. |
| author_sort | Ram Kumar R.P. |
| collection | DOAJ |
| description | Thyroid gland is one of the body’s most important glands because it regulates the metabolism of the human body. It controls how the body works by releasing specific hormones into the blood. The two different hormone disorders are hypothyroidism and hyperthyroidism. When these disorders occur, the thyroid gland releases a particular hormone into the blood that regulates the metabolism of the body. Iodine deficiency, autoimmune conditions, and inflammation can contribute to thyroid issues. The disease is diagnosed using a blood test, but there is frequently some noise and disturbance. Techniques for cleaning data can be used to make it simple enough to perform analytics that show the patient's risk of developing thyroid disease. This paper deals with the analysis and classification models used in thyroid disease based on the information gathered from the dataset taken from the UCI machine learning repository. Machine learning plays a crucial role in the detection of thyroid disease. This paper suggests various machine-learning methods for thyroid detection and diagnosis for thyroid prevention. |
| first_indexed | 2024-03-13T06:27:37Z |
| format | Article |
| id | doaj.art-3215d95391c24eaf8ab1288fd86e2351 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T06:27:37Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3215d95391c24eaf8ab1288fd86e23512023-06-09T09:11:31ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013910114110.1051/e3sconf/202339101141e3sconf_icmed-icmpc2023_01141Thyroid Disease Classification using Machine Learning AlgorithmsRam Kumar R.P.0Sri Lakshmi M.1Ashwak B.S.2Rajeshwari K.3Md Zaid S.4Department of AIMLE, GRIETAssociate Professor, Department of CSE, GPCETStudent, Department of CSE, GPCETStudent, Department of CSBS, GRIETStudent, G Pullaiah College of Engineering and TechnologyThyroid gland is one of the body’s most important glands because it regulates the metabolism of the human body. It controls how the body works by releasing specific hormones into the blood. The two different hormone disorders are hypothyroidism and hyperthyroidism. When these disorders occur, the thyroid gland releases a particular hormone into the blood that regulates the metabolism of the body. Iodine deficiency, autoimmune conditions, and inflammation can contribute to thyroid issues. The disease is diagnosed using a blood test, but there is frequently some noise and disturbance. Techniques for cleaning data can be used to make it simple enough to perform analytics that show the patient's risk of developing thyroid disease. This paper deals with the analysis and classification models used in thyroid disease based on the information gathered from the dataset taken from the UCI machine learning repository. Machine learning plays a crucial role in the detection of thyroid disease. This paper suggests various machine-learning methods for thyroid detection and diagnosis for thyroid prevention.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01141.pdf |
| spellingShingle | Ram Kumar R.P. Sri Lakshmi M. Ashwak B.S. Rajeshwari K. Md Zaid S. Thyroid Disease Classification using Machine Learning Algorithms E3S Web of Conferences |
| title | Thyroid Disease Classification using Machine Learning Algorithms |
| title_full | Thyroid Disease Classification using Machine Learning Algorithms |
| title_fullStr | Thyroid Disease Classification using Machine Learning Algorithms |
| title_full_unstemmed | Thyroid Disease Classification using Machine Learning Algorithms |
| title_short | Thyroid Disease Classification using Machine Learning Algorithms |
| title_sort | thyroid disease classification using machine learning algorithms |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01141.pdf |
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