• Anuradha Shyam
• Mohanrao Mamdikar
• Pooja Patre

The thyroid gland is one among the most necessary organs in our body.It secretes thyroid hormones that are responsible for controlling metabolism.The less secretion hormone causes hypothyroidism and far secretion of thyroid causes hyperthyroidism.For deciding,data processing technique is especially utilized in health care sectors,sickness identification and giving better treatment to the patients.Here,in this paper we have used two different datasets thyroid disease from UCI and various machine learning techniques have been applied for prediction of thyroid disease.Finally results are compared on the basis of confusion matrix.After performing experiments we observed that the use of neural network models and decision tree classifier produces good results as both classifier produces accuracy more than 99%.

Decision Tree,KNN,neural Network,Regression,Support Vector Machine,Thyroid Diseases.

"Prediction of Thyroid Disease Type Using Combination of Different Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.522-529, May-2019, Available :http://www.jetir.org/papers/JETIR1905J77.pdf

"Prediction of Thyroid Disease Type Using Combination of Different Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp522-529, May-2019, Available at : http://www.jetir.org/papers/JETIR1905J77.pdf