Early Determination and Prognosis of Thyroid Disease on Real-Time and Benchmarked Datasets with Comparative Analysis

One of the most important organs in the human body is the thyroid gland, a vascular gland. T3 and T4 are two hormones secreted by this gland to regulate the body's metabolism. In this state, the body releases certain hormones that lead to metabolic imbalances. The condition is diagnosed by blood tests, but the results are often skewed and noisy. Using data cleaning techniques, we simplified the data sufficiently for analysis to highlight the likelihood that patients will develop this disease. Machine learning is essential for disease prediction. A patient's risk of developing a disease is predicted using machine learning techniques such as decision trees, random forests, and K-nearest neighbors. A web application is created to collect user data and predict thyroid problems.