A hybrid machine learning feature selection model—HMLFSM to enhance gene classification applied to multiple colon cancers dataset

Colon cancer is a significant global health problem, and early detection is critical for improving survival rates. Traditional detection methods, such as colonoscopies, can be invasive and uncomfortable for patients. Machine Learning (ML) algorithms have emerged as a promising approach for non-invas...

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Detalles Bibliográficos
Autores principales: Al-Rajab, Murad, Lu, Joan, Xu, Qiang, Kentour, Mohamed, Sawsa, Ahlam, Shuweikeh, Emad, Joy, Mike, Arasaradnam, Ramesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621932/
https://www.ncbi.nlm.nih.gov/pubmed/37917732
http://dx.doi.org/10.1371/journal.pone.0286791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621932/
https://www.ncbi.nlm.nih.gov/pubmed/37917732
http://dx.doi.org/10.1371/journal.pone.0286791

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