Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction

This study evaluates several feature ranking techniques together with some classifiers based on machine learning to identify relevant factors regarding the probability of contracting breast cancer and improve the performance of risk prediction models for breast cancer in a healthy population. The da...

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Detalles Bibliográficos
Autores principales: López, Nahúm Cueto, García-Ordás, María Teresa, Vitelli-Storelli, Facundo, Fernández-Navarro, Pablo, Palazuelos, Camilo, Alaiz-Rodríguez, Rocío
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535206/
https://www.ncbi.nlm.nih.gov/pubmed/34682416
http://dx.doi.org/10.3390/ijerph182010670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535206/
https://www.ncbi.nlm.nih.gov/pubmed/34682416
http://dx.doi.org/10.3390/ijerph182010670

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