Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution

Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution

Abstract Thyroid disease has been on the rise during the past few years. Owing to its importance in metabolism, early detection of thyroid disease is a task of critical importance. Despite several existing works on thyroid disease detection, the problem of class imbalance is not investigated very we...

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Bibliographic Details
Main Authors: Punit Gupta, Furqan Rustam, Khadija Kanwal, Wajdi Aljedaani, Sultan Alfarhood, Mejdl Safran, Imran Ashraf
Format: Article
Language:English
Published: Springer 2024-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Thyroid detection
Model optimization
Differential evolution
Machine learning
Deep learning
Online Access:https://doi.org/10.1007/s44196-023-00388-2

Internet

https://doi.org/10.1007/s44196-023-00388-2

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