Thyroid disease prediction using advanced machine learning approaches

Abstract

"Thyroid glands disease is the most common endocrine disorder which can be seen around the world after diabetes. The Women between the ages of 17 to 54 are mostly affected by this disease. The last stage of thyroid disease is linked to many disease conditions such as high blood pressure, high cholesterol, cardiovascular problems, depression, and decreased fertility. This disease is caused by the dysfunction of the thyroid glands.

In this research, the prediction of thyroid disease is developed using clinical data and the symptoms. The patients who have already done their checkups (blood tests) can use this system for analyzing the condition of the disease as Hypothyroid, hyperthyroid and negative using the clinical data of the report. The other users can use the chatbot model for the prediction of thyroid disease. "