A Study on Label TSH, T3, T4U, TT4, FTI in Hyperthyroidism and Hypothyroidism using Machine Learning Techniques-Reference-Cited by-同舟云学术

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A Study on Label TSH, T3, T4U, TT4, FTI in Hyperthyroidism and Hypothyroidism using Machine Learning Techniques

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Communication and Electronics Systems (ICCES)
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Author:

Shahid Afzal Hussain,Singh Maheshwari Prasad,Raj Rahul Kumar,Suman Rashmi,Jawaid Drakhshan,Alam Muqtadir

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8975891/9002028/09002284.pdf?arnumber=9002284

Cited by 14 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. Early prediction of hypothyroidism based on feature selection and explainable artificial intelligence;Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

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. SSC: The novel self-stack ensemble model for thyroid disease prediction;PLOS ONE;2024-01-03

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. Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review;Baghdad Science Journal;2023-08-20

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