Advancing prostate cancer detection: a comparative analysis of PCLDA-SVM and PCLDA-KNN classifiers for enhanced diagnostic accuracy

This investigation aimed to assess the effectiveness of different classification models in diagnosing prostate cancer using a screening dataset obtained from the National Cancer Institute’s Cancer Data Access System. The dataset was first reduced using the PCLDA method, which combines Principal Comp...

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Detalles Bibliográficos
Autores principales: Dubey, Priya, Kumar, Surendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447543/
https://www.ncbi.nlm.nih.gov/pubmed/37612436
http://dx.doi.org/10.1038/s41598-023-40906-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447543/
https://www.ncbi.nlm.nih.gov/pubmed/37612436
http://dx.doi.org/10.1038/s41598-023-40906-y

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