• CHARAN R
• HASEEBA YASEEN
• APRAMEYA N KATTI
• AKASH YADAV M
• MOHITH P

Thyroid disease is a major cause of concern in medical diagnosis and the prediction of which is a difficult proposition in medical research. The machine learning plays a vital role in the process of disease prediction and this paper handles the analysis of the classification and prediction of the thyroid disease based on the information gathered from the UCI machine learning repository.

Machine learning, unsupervised and supervised learning, classification, prediction, and threshold.

"Prediction of Thyroid Disease Based on Classification Using Hierarchical Structure", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.384-392, May-2019, Available :http://www.jetir.org/papers/JETIR1905G52.pdf

"Prediction of Thyroid Disease Based on Classification Using Hierarchical Structure", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp384-392, May-2019, Available at : http://www.jetir.org/papers/JETIR1905G52.pdf