Читать книгу Advanced Healthcare Systems - Группа авторов - Страница 45

Thyroid gland is a predominant organ of human body. Cardiovascular complications include an extreme thyroid condition, increased blood pressure, increased cholesterol levels, depression, and decreased fertility [2]. The thyroid gland has become an important disease in this endocrine region which is an endocrine gland located in the neck, in case of severity the patient may die [3]. There are two traditional diseases of the thyroid that are hyperthyroidism and hypothyroidism that release hormones in the thyroid that control the rate of metabolism of the body. The thyroid glands are made up of two active thyroid hormones that are Triiodothyronine Total (T3) and Thyroxine Total (T4) to control the metabolism of body [4]. From these two thyroid hormones T3 and T4, the main building part of the thyroid glands is iodine which prevails in some problems that are highly potent. To the prediction of disease, machine learning has played a decisive role and provides better accuracy. There are different classification algorithms for prediction whether the patient has thyroid disease or not.

Figure 3.1 Analysis of thyroid.

A machine learning model was trained with a data set of 1,300 benign thyroid nodules and trained with following variables: Name, Age, Triiodothyronine Total (T3), Thyroxine Total (T4), TSH (4th Generation), and Serum [5]. Serum are present in about 60% of patients with autoimmune thyroid disease and are more frequent in females. This research paper has analyzed thyroid disease among different ages in years as shown in Figure 3.1.