Investigating the effect of correlation based feature selection on breast cancer diagnosis using artificial neural network and support vector machines-Reference-Cited by-同舟云学术

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Investigating the effect of correlation based feature selection on breast cancer diagnosis using artificial neural network and support vector machines

Published:2017-02 Issue: Volume: Page:
ISSN:
Container-title:2017 International Conference on Informatics, Health & Technology (ICIHT)
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Author:

Alyami Reem,Alhajjaj Jinan,Alnajrani Batool,Elaalami Ilham,Alqahtani Abdullah,Aldhafferi Nahier,Owolabi Taoreed O.,Olatunji Sunday O.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7897373/7898999/07899011.pdf?arnumber=7899011

Cited by 10 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. A new Covid-19 diagnosis strategy using a modified KNN classifier;Neural Computing and Applications;2023-05-02

2. A New Approach for Control Chart Pattern Recognition Using Nonlinear Correlation Measure;SN Computer Science;2022-07-05

3. Simulation of sports action recognition based on maximum spanning tree algorithm;Journal of Ambient Intelligence and Humanized Computing;2021-04-15

4. Classification techniques in breast cancer diagnosis: A systematic literature review;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2021-01-02

5. Performance Analysis of Machine Learning-Based Breast Cancer Detection Algorithms;Lecture Notes in Electrical Engineering;2021

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