Prediction of thyroid disease with big data analytics

Thyroid diseases represent a major public health challenge worldwide, with symptoms often overlapping other disorders, making diagnosis difficult. The early prediction and classification of thyroid dysfunction, particularly hypothyroidism and hyperthyroidism, are essential to prevent severe complications. This paper presents a predictive analytics approach that leverages Big Data infrastructure and machine learning algorithms to diagnose thyroid disorders.