Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets

OBJECTIVE(S): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer dat...

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Detalles Bibliográficos
Autores principales: Aalaei, Shokoufeh, Shahraki, Hadi, Rowhanimanesh, Alireza, Eslami, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mashhad University of Medical Sciences 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923467/
https://www.ncbi.nlm.nih.gov/pubmed/27403253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923467/
https://www.ncbi.nlm.nih.gov/pubmed/27403253

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