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IJSTR >> Volume 9 - Issue 2, February 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Supervised Machine Learning Models For Classification Of Thyroid Data

[Full Text]

 

AUTHOR(S)

D.Hemalatha , S. Poorani

 

KEYWORDS

Indecorous activation of thyroid glands becomes major issue of concern among Indian women. Hyperthyroidism and hypothyroidism are the two major thyroid disorders that should be treated early. Hyperthyroidism occurs due to over secretion of hormones than the need of the body. Hypothyroidism causes due to surplus exertion of hormones from the thyroid gland. T3, T4 and TSH hormones play a significant role in functioning of the thyroid gland. Various studies have been done to predict the thyroid disorder. The key objective of this research work is to predict the type of thyroid disorder using supervised ML techniques.

 

ABSTRACT

Indecorous activation of thyroid glands becomes major issue of concern among Indian women. Hyperthyroidism and hypothyroidism are the two major thyroid disorders that should be treated early. Hyperthyroidism occurs due to over secretion of hormones than the need of the body. Hypothyroidism causes due to surplus exertion of hormones from the thyroid gland. T3, T4 and TSH hormones play a significant role in functioning of the thyroid gland. Various studies have been done to predict the thyroid disorder. The key objective of this research work is to predict the type of thyroid disorder using supervised ML techniques.

 

REFERENCES

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[10]https://archive.ics.uci.edu/ml/datasets/Thyroid+Disease