Paper Contents
Abstract
In todays data-driven healthcare environment, machine learning (ML) has emerged as a powerful tool in diagnosing and predicting diseases. Among various health issues, thyroid disorders are increasingly common yet often go undiagnosed due to vague symptoms. This article explores the role of ML in predicting thyroid disease, emphasizing its impact on early detection, improved diagnosis, and better patient outcomes.
Copyright
Copyright © 2025 Dr. Urmila Rajendra Pol. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS50700014673
ISSN:
2321-9653
Publisher:
ijprems