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Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction

Detalles Bibliográficos
Autores principales:	Giardiello, Daniele, Antoniou, Antonis C., Mariani, Luigi, Easton, Douglas F., Steyerberg, Ewout W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Letter
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011440/ https://www.ncbi.nlm.nih.gov/pubmed/32041655 http://dx.doi.org/10.1186/s13058-020-1255-4

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