Lung Cancer Detection: A Classification Approach Utilizing Oversampling and Support Vector Machines-Reference-Cited by-同舟云学术

Lung Cancer Detection: A Classification Approach Utilizing Oversampling and Support Vector Machines

Published:2023-12-08 Issue:1 Volume:5 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Jara-Gavilanes Adolfo^ORCID,Robles-Bykbaev Vladimir^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-02432-6.pdf

Reference26 articles.

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3. Barta JA, Powell CA, Wisnivesky JP. Global epidemiology of lung cancer. Ann Glob Health. 2019;85(1):8–24

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5. Cano JR, Gutiérrez PA, Krawczyk B, Woźniak M, García S. Monotonic classification: an overview on algorithms, performance measures and data sets. Neurocomputing. 2019;341:168–82.

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