Advanced Healthcare Systems. Группа авторов
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1 *Corresponding author: [email protected]
3
Study of Thyroid Disease Using Machine Learning
Shanu Verma*, Rashmi Popli and Harish Kumar
J.C. Bose University of Science and Technology, Faridabad, India
Abstract
Thyroid problems occur due to the deficiency of iodine. It is a major health problem among the population living with iodine deficiency, and this endocrine disorder has seen common problems everywhere. Thyroid function test based on the value of TSH, T3 and T4, may indicate thyroid dysfunction and may indicate symptoms and signs that are diagnostic of hyperthyroidism or hypothyroidism. Hyperthyroidism in the gland that contains a high amount of thyroid hormone. Hypothyroidism is a gland that does not fabricate thyroid hormone that perform impaired metabolic functions. Graves is the biggest disease in hypothyroidism which is associated with eye disease. An exceptional type of cancer occurring in the thyroid is a thyroid cancer that infects the gland at the base of the neck. Thyroid cancer disease has been increasing for the past few years. Endocrinologists believe that this is due to the use of new technology, i.e., machine learning, intensive learning allows the detection of thyroid cancer that may not have been detected in the past. According to the Cancer Registry, thyroid cancer is the second more common cancer among women of all cancers, with cancer in thyroid occurring at only 3.5%. This chapter studies thyroid disease using machine learning algorithm.
Keywords: Thyroid, thyroid cancer, hypothyroidism, hyperthyroidism, machine learning, classification algorithm
3.1 Introduction
In India, thyroid disorder is the most common endocrine diseases. About 42 lakh population in India is affected by thyroid disorders. The type of thyroid disorder depends on various characteristics such as sex, iodine levels, age, and more [1]. Hyperthyroidism is one of the primary causes of thyroid cancer, although some researchers suggest that up to 20% of