Feature selection algorithms to improve thyroid disease diagnosis
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8053492/8093973/08094070.pdf?arnumber=8094070
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comprehensive Machine Learning Approach for Early Detection and Classification of Hyperthyroidism and Hypothyroidism;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22
2. Machine Learning Models for Predicting Hypothyroidism: Utilizing Synthetic Data for Improved Accuracy;International Journal of Advanced Research in Science, Communication and Technology;2024-02-11
3. An Efficient Selective Features Approach to Detect Hypothyroid Using Machine Learning;Lecture Notes in Networks and Systems;2024
4. Hypothyreosis Prediction Using Feature Scaling Technique in ML;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23
5. Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images;Multimedia Tools and Applications;2023-10-16
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