Identifying Important Features for Clinical Diagnosis of Thyroid Disorder-Reference-Cited by-同舟云学术

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Identifying Important Features for Clinical Diagnosis of Thyroid Disorder

Published:2022-11-10 Issue: Volume: Page:
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Container-title:2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
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Author:

Balasubramanian Sowmya¹,Srinivasan Venkatesh¹,Thomo Alex¹

Affiliation:

1. University of Victoria,Department of Computer Science,Victoria,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068712.pdf?arnumber=10068712

Reference33 articles.

1. A comparative study on thyroid disease diagnosis using neural networks

2. An Analysis of Thyroid Function Diagnosis Using Bayesian-Type and SOM-Type Neural Networks

3. Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease

4. Thyroid Disease Diagnosis Based on Genetic Algorithms Using PNN and SVM

Cited by 2 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. Predictive Modeling for Thyroid Disease Diagnosis using Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

2. Early Thyroid Risk Prediction by Data Mining and Ensemble Classifiers;Machine Learning and Knowledge Extraction;2023-09-18

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