Review of Machine Learning Techniques For Class Imbalance Medical Data Set-Reference-Cited by-同舟云学术

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Review of Machine Learning Techniques For Class Imbalance Medical Data Set

Published:2023-11-01 Issue: Volume:113 Page:1-10
ISSN:
Container-title:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
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Author:

Amshi Ahmad Hauwa¹,Usman Asmau²,Prasad Rajesh³,Salihu Ibrahim Anka⁴,Dadile Abubakar Muhammad⁵

Affiliation:

1. Federal University,Deptment of Computer Science,Gashua,Nigeria

2. Abdu Gusau Polytechnic,Department of Compter Science,Talata Mafara,Nigeria

3. African University of Science and Technology,Department of Computer Science,Abuja,Nigeria

4. Nile University of Nigeria,Department of Software Engineering,Abuja,Nigeria

5. Umar Sulaiman College of Education,Department of Computer Science,Gashua,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379199/10379205/10429848.pdf?arnumber=10429848

Reference65 articles.

1. Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines,;Majid;Comput. Methods Programs Biomed.,2014

2. EMDID: Evolutionary multi-objective discretization for imbalanced datasets;Tahan,2018

3. Finding the Best Classification Threshold in Imbalanced Classification;Zou,2016

4. A comprehensive data level analysis for cancer diagnosis on imbalanced data

5. A Comparison of Resampling Techniques for Medical Data Using Machine Learning

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