Ensemble-based Effective Diagnosis of Thyroid Disorder with Various Feature Selection Techniques-Reference-Cited by-同舟云学术

Ensemble-based Effective Diagnosis of Thyroid Disorder with Various Feature Selection Techniques

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
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Author:

Akhtar Tehseen¹,Arif Saad¹,Mushtaq Zohaib²,Gilani Syed Orner¹,Jamil Mohsin³,Ayaz Yasar¹,Butt Shahid Ikramullah¹

Affiliation:

1. School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology,Islamabad,Pakistan,44000

2. Riphah International University,Department of Electrical Engineering,Islamabad,Pakistan,44000

3. Memorial University of Newfoundland,Faculty of Engineering and Applied Science,Department of Electrical and Computer Engineering,St. John's,Canada,NL A1B 3X5

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842388/9842335/09842449.pdf?arnumber=9842449

Reference32 articles.

1. A comparative study on thyroid disease detection using K-nearest neighbor and Naive Bayes classification techniques

2. Evaluation and performance analysis of classification techniques for thyroid detection

3. Effective Voting Ensemble of Homogenous Ensembling with Multiple Attribute-Selection Approaches for Improved Identification of Thyroid Disorder

4. THYROID DETECTION USING MACHINE LEARNING

5. Thyroid Disease Classification Using Machine Learning Algorithms

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