A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification

Designing targeted treatments for breast cancer patients after primary tumor removal is necessary to prevent the occurrence of invasive disease events (IDEs), such as recurrence, metastasis, contralateral and second tumors, over time. However, due to the molecular heterogeneity of this disease, pred...

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Detalles Bibliográficos
Autores principales: Massafra, Raffaella, Comes, Maria Colomba, Bove, Samantha, Didonna, Vittorio, Diotaiuti, Sergio, Giotta, Francesco, Latorre, Agnese, La Forgia, Daniele, Nardone, Annalisa, Pomarico, Domenico, Ressa, Cosmo Maurizio, Rizzo, Alessandro, Tamborra, Pasquale, Zito, Alfredo, Lorusso, Vito, Fanizzi, Annarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484691/
https://www.ncbi.nlm.nih.gov/pubmed/36121822
http://dx.doi.org/10.1371/journal.pone.0274691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484691/
https://www.ncbi.nlm.nih.gov/pubmed/36121822
http://dx.doi.org/10.1371/journal.pone.0274691

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