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

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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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Bibliographic Details
Main Authors:	Gupta, Sunil, Tran, The Truyen, Luo, W., Phung, D., Kennedy, R., Broad, A., Campbell, D., Kipp, D., Singh, M., Khasraw, M., Matheson, L., Ashley, D., Venkatesh, S.
Format:	Journal Article
Published:	BM J Group 2014
Online Access:	http://hdl.handle.net/20.500.11937/24886

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