Neck on the line-thyroid gland Hormonal and metabolic ataxia
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2020 by IJETT Journal | ||
| Volume-68 Issue-2 |
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| Year of Publication : 2020 | ||
| Authors : R.Nagalakshmi, R.Priya |
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| DOI : 10.14445/22315381/IJETT-V68I2P210 |
Citation
MLA Style: R.Nagalakshmi, R.Priya "Neck on the line-thyroid gland Hormonal and metabolic ataxia" International Journal of Engineering Trends and Technology 68.2 (2020):57-60.
APA Style:R.Nagalakshmi, R.Priya. Neck on the line-thyroid gland Hormonal and metabolic ataxia International Journal of Engineering Trends and Technology, 68(2),57-60.
Abstract
Association based Data mining techniques plays an important role in healthcare field for diagnosis the thyroid gland disorder and providing better treatment for the patients in the early stage. Thyroid diseases are, probably, among the commonest endocrine disorders worldwide. India too, is no exception. According to a projection from various studies on thyroid disease, it has been estimated that about 42 million people in India suffer from thyroid diseases.[1] Thyroid diseases are different from other diseases in terms of their ease of diagnosis, accessibility of medical treatment, and the relative visibility that even a small swelling of the thyroid offers to the treating physician. Early diagnosis and treatment remain the cornerstone of management. The thyroid gland is an endocrine gland in your neck. It makes two hormones that are secreted into the blood: thyroxine (T4) and triiodothyronine (T3). These hormones are necessary for all the cells in your body to work normally. Thyroid disorders are very common and tend mainly to occur in women, although anybody - men, teenagers, children and babies, too - can be affected. Thyroid disorders are conditions that affects the thyroid glands. It controls your metabolism, which is how your body turns food into energy. The purpose of this research is predication of thyroid gland disorder in earlier stage and providing medication to the patients at comparably low cost and the number of blood samples will be reduced and also time required to diagnose disease.
Reference
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Keywords
Data Mining, Thyroid disease, Association model, Support vector machine.