Improving breast cancer prediction using a pattern recognition network with optimal feature subsets

AIM: To predict the presence of breast cancer by using a pattern recognition network with optimal features based on routine blood analysis parameters and anthropometric data. METHODS: Sensitivity, specificity, accuracy, Matthews correlation coefficient (MCC), and Fowlkes-Mallows (FM) index of each m...

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Detalles Bibliográficos
Autor principal: Gündoğdu, Serdar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Medical Schools 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596469/
https://www.ncbi.nlm.nih.gov/pubmed/34730888
http://dx.doi.org/10.3325/cmj.2021.62.480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596469/
https://www.ncbi.nlm.nih.gov/pubmed/34730888
http://dx.doi.org/10.3325/cmj.2021.62.480

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