• P. Thanmayi
• P. Sreeja
• P. Snehalatha
• P. Aravind swami
• J. Sofia

Thyroid disease is a major cause of formation in medical diagnosis and the prediction The secretions of thyroid hormones are culpable in controlling the metabolism. Hyperthyroidism and hypothyroidism are the two common diseases of the thyroid that releases thyroid hormones in regulating the rate of the body’s metabolism. Data cleansing techniques were applied to make the data primitive enough for performing analytics to show the risk of patients obtaining thyroid. Machine learning plays a decisive role in the process of disease prediction and this paper handles the analysis and classification models that are being used in thyroid disease based on the information gathered from the dataset taken from the UCI machine learning repository. In this, we also proposed different machine-learning techniques and diagnoses for the prevention of the thyroid. Machine Learning Algorithms, K-NN, Decision Trees, and multi-layer perceptron was used to predict the estimated risk of a patient’s chance of obtaining thyroid disease.

Deep learning, multilayer perceptron, thyroid disease

"Thyroid Disease Classification using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i245-i250, June-2023, Available :http://www.jetir.org/papers/JETIR2306828.pdf

"Thyroid Disease Classification using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi245-i250, June-2023, Available at : http://www.jetir.org/papers/JETIR2306828.pdf