Thyroid Disease Detection System

Abstract

This paper aims to recognize the diagnosis of the thyroid disease and then categorize the type of thyroid disease a patient may be suffering from (i.e., hyperthyroidism or hypothyroidism). The project implementation is being done by using python and Kaggle is the platform from which the dataset has been taken. At present many machine learning algorithms have been used to detect thyroid disease like but our goal is to implement the machine learning algorithm which has higher accuracy and which takes less time in detecting the disease along with the type of thyroid. We have trained the dataset taken from Kaggle over various machine learning techniques. We have also attempted to reduce the number of parameters required to detect the disease.