A Literature Review on Thyroid Detection using Machine Learning

A Literature Review on Thyroid Detection using Machine Learning

1 Prof. Mohammad Sajid, 2Isha Patil,3 Mayuri Balapure  ,4 Sonali Gadekar, 5Samiksha Tembhurne, 6Riya Bawne

1Associate Professor, Department of Computer Science, NIT, Nagpur

2B.E Graduate (IV Year),Department of Computer Science, NIT, Nagpur

3B.E Graduate (IV Year),Department of Computer Science, NIT, Nagpur

4B.E Graduate (IV Year),Department of Computer Science, NIT, Nagpur

5B.E Graduate (IV Year),Department of Computer Science, NIT, Nagpur

6B.E Graduate (IV Year),Department of Computer Science, NIT, Nagpur

Abstract

The Thyroid gland is a vascular gland and one of the most important organs of a human body. This gland secretes two hormones which help in controlling the metabolism of the body. The two types of Thyroid disorders are Hyperthyroidism and Hypothyroidism. When this disorder occurs in the body, they release certain type of hormones into the body which imbalances the body’s metabolism. Thyroid related Blood test is used to detect this disease but it is often blurred and noise will be present. Data cleansing methods were used to make the data primitive

enough for the analytics to show the risk of patients getting this disease. Machine Learning plays a very deciding role in the disease prediction. Machine Learning algorithms, SVM - support vector machine,  KNN - K-nearest neighbours, Random Forest , K- Means  Algorithms  are used to predict the patient’s risk of getting thyroid disease. Web app is created to get data from users to predict the type of disease.

Keywords - Hyperthyroidism , Hypothyroidism, SVM, KNN, K-Means.