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Incorporating Feature Selection Methods into Machine Learning-Based Covid-19 Diagnosis Cover

Incorporating Feature Selection Methods into Machine Learning-Based Covid-19 Diagnosis

Applied Computer Systems
Volume 27 (2022): Issue 1 (June 2022)
By: Çağla Danacı and  Seda Arslan Tuncer  
Open Access
|Aug 2022

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DOI: https://doi.org/10.2478/acss-2022-0002 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 13 - 18
Published on: Aug 23, 2022
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Classification,
Covid-19,
feature selection,
machine learning
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2022 Çağla Danacı, Seda Arslan Tuncer, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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