Thyroid Detection

Thyroid Detection

Prof. Mohammad Sajid¹, Isha Patil², Mayuri Balapure³, Riya Bawane⁴, Sonali Gadekar⁵, Samiksha Tembhurne⁶

¹Prof. Mohammad Sajid, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

²Isha Patil, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

³Mayuri Balapure, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

⁴Riya Bawane, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

⁵Sonali Gadekar, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

⁶Samiksha Tembhurne, Computer Science & Engineering &Nagpur Institute of Technology, Nagpur

Abstract 

Thyroid Gland is a vascular gland and one of the most important organs of the 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 types of hormones into the body which imbalances 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 patient’s 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.  

Key Words: Hyperthyroidism ,Hypothyroidism, SVM, KNN, K-Means.