International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Prediction of thyroid disease with big data analytics

Author(s) Hello Ankita Sunil Hulawale
Country India
Abstract 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.
Keywords Thyroid Prediction, Hypothyroidism, Hyperthyroidism, Big Data, Naïve Bayes, Machine Learning, Hadoop, Clinical Decision Support
Field Medical / Pharmacy
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-20
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.42343
Short DOI https://doi.org/g9f7pc
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E-ISSN 2582-2160
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