Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

OBJECTIVES: Using the prediction of cancer outcome as a model, we have tested the hypothesis that through analysing routinely collected digital data contained in an electronic administrative record (EAR), using machine-learning techniques, we could enhance conventional methods in predicting clinical...

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Detalles Bibliográficos
Autores principales: Gupta, Sunil, Tran, Truyen, Luo, Wei, Phung, Dinh, Kennedy, Richard Lee, Broad, Adam, Campbell, David, Kipp, David, Singh, Madhu, Khasraw, Mustafa, Matheson, Leigh, Ashley, David M, Venkatesh, Svetha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963101/
https://www.ncbi.nlm.nih.gov/pubmed/24643167
http://dx.doi.org/10.1136/bmjopen-2013-004007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963101/
https://www.ncbi.nlm.nih.gov/pubmed/24643167
http://dx.doi.org/10.1136/bmjopen-2013-004007

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