An Analysis of Thyroid Disease Using Machine Learning Based Algorithm | Original Article

ABSTRACT:

ABSTRACT

Thyroid organs help in regulating the thyroid hormone metabolism that is secreted in our body. The thyroid gland is a butterfly structure found in the neck of the human body. The thyroid gland produces hormones that are very important for our body. They are responsible for many specific functions, such as being overweight or underweight, causing or causing secrecy and unhappiness, standard of living and heart problems. A strategic suggestion has been made for thyroid disease. However, the treatment of thyroid infection has become easier now. Hypertension and diabetes are treated by a large proportion of patients such as older patients. Mainly this is a condition of which there are two types first hypothyroidism and second hyperthyroidism. Our research paper is based on the analysis of machine learning based classifiers for thyroid disease. The classification algorithms used in this paper measure diseases using disease datasets that provide accurate prediction estimates. This paper describes how to identify a better method of classification for thyroid disease, and concludes that ANN gives better accuracy than the decision tree technique.