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...

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Published inE3S web of conferences Vol. 391; p. 1141
Main Authors Ram Kumar, R.P., Sri Lakshmi, M., Ashwak, B.S., Rajeshwari, K., Md Zaid, S.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2023
Subjects
Blood
Classification
Disorders
Hormones
Hyperthyroidism
Hypothyroidism
Iodine
Learning algorithms
Machine learning
Metabolism
Nutrient deficiency
Thyroid
Thyroid diseases
Thyroid gland
Online AccessGet full text
ISSN2267-1242
2555-0403
2267-1242
DOI10.1051/e3sconf/202339101141

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Abstract 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.
AbstractList 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.
Author Ram Kumar, R.P.
Md Zaid, S.
Ashwak, B.S.
Sri Lakshmi, M.
Rajeshwari, K.
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Cites_doi 10.1109/ACCESS.2020.2980290
10.1109/PDGC.2018.8745910
10.29121/ijoest.v5.i3.2021.186
10.1109/IHTC.2015.7238043
10.1056/NEJMp1606181
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StartPage 1141
SubjectTerms Blood
Classification
Disorders
Hormones
Hyperthyroidism
Hypothyroidism
Iodine
Learning algorithms
Machine learning
Metabolism
Nutrient deficiency
Thyroid
Thyroid diseases
Thyroid gland
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