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

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. and Venkatesh, Svetha 2014, Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry, BMJ open, vol. 4, no. 3, Article number e004007, pp. 1-7, doi: 10.1136/bmjopen-2013-004007.

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Title Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry
Author(s) Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Luo, WeiORCID iD for Luo, Wei orcid.org/0000-0002-4711-7543
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Kennedy, Richard Lee
Broad, Adam
Campbell, David
Kipp, David
Singh, Madhu
Khasraw, Mustafa
Matheson, Leigh
Ashley, David M.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name BMJ open
Volume number 4
Issue number 3
Season Article number e004007
Start page 1
End page 7
Total pages 7
Publisher B M J Group
Place of publication London, England
Publication date 2014
ISSN 2044-6055
Keyword(s) Cancer
Electronic Medical Record
Machine Learning
Prediction
Survival
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
POPULATION-BASED COHORT
BREAST-CANCER
IMPACT
COMORBIDITY
NETWORKS
HEALTH
MODELS
Summary 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 outcomes.
Language eng
DOI 10.1136/bmjopen-2013-004007
Field of Research 111299 Oncology and Carcinogenesis not elsewhere classified
Socio Economic Objective 920102 Cancer and Related Disorders
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, BMJ Group
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067403

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.