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Thyroid disease is tough to diagnose because it's complicated. The thyroid gland regulates metabolism by releasing important hormones. Hyperthyroidism and Hypothyroidism are common and need careful treatment. This study uses data cleaning to analyze patient data and find those at risk. It focuses on using deep learning with Artificial Neural Networks (ANN) to predict thyroid disease accurately (98.26%). Different models are tested using a dataset from UCI to improve accuracy. The study suggests creating a user-friendly Graphical User Interface (GUI) to estimate a patient’s risk. By using deep learning and data analysis, this research helps healthcare professionals make better decisions, aiming to improve patient outcomes in diagnosing and treating thyroid diseases. Advanced analytics and predictive modeling could change how thyroid disease is diagnosed and improve healthcare quality.

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Thyroid Disease Prediction System Using Deep Learning with Gui Tkinter

  • 会议论文

  • 发表日期：

    2025年

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  • M. Dattatreya,
  • B. H. V. S. R. K. Raju

摘要

Thyroid disease is tough to diagnose because it's complicated. The thyroid gland regulates metabolism by releasing important hormones. Hyperthyroidism and Hypothyroidism are common and need careful treatment. This study uses data cleaning to analyze patient data and find those at risk. It focuses on using deep learning with Artificial Neural Networks (ANN) to predict thyroid disease accurately (98.26%). Different models are tested using a dataset from UCI to improve accuracy. The study suggests creating a user-friendly Graphical User Interface (GUI) to estimate a patient’s risk. By using deep learning and data analysis, this research helps healthcare professionals make better decisions, aiming to improve patient outcomes in diagnosing and treating thyroid diseases. Advanced analytics and predictive modeling could change how thyroid disease is diagnosed and improve healthcare quality.