Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach

BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decision...

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Detalles Bibliográficos
Autores principales: Lin, Frank P. Y., Pokorny, Adrian, Teng, Christina, Dear, Rachel, Epstein, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131452/
https://www.ncbi.nlm.nih.gov/pubmed/27905893
http://dx.doi.org/10.1186/s12885-016-2972-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131452/
https://www.ncbi.nlm.nih.gov/pubmed/27905893
http://dx.doi.org/10.1186/s12885-016-2972-z

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