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Journal article

Fusing continuous-valued medical labels using a Bayesian Model

Abstract:

With the rapid increase in volume of time series medical data available through wearable devices, there is a need to employ automated algorithms to label data. Examples of labels include interventions, changes in activity (e.g. sleep) and changes in physiology (e.g. arrhythmias). However, automated algorithms tend to be unreliable resulting in lower quality care. Expert annotations are scarce, expensive, and prone to significant inter- and intra-observer variance. To address these problems, a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10439-015-1344-1

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More from this funder
Funding agency for:
Zhu, T
Grant:
ARM Scholarship in Sustainable Healthcare Technology
More from this funder
Funding agency for:
Zhu, T
Grant:
ARM Scholarship in Sustainable Healthcare Technology
More from this funder
Funding agency for:
Clifton, D
Publisher:
Springer Verlag Publisher's website
Journal:
Annals of Biomedical Engineering Journal website
Volume:
43
Issue:
12
Pages:
2892-2902
Publication date:
2015-06-03
Acceptance date:
2015-05-21
DOI:
EISSN:
1573-9686
ISSN:
0090-6964
Language:
English
Keywords:
Pubs id:
pubs:527084
UUID:
uuid:8ce2bab5-406b-4cf5-b28e-01d64a85ec83
Local pid:
pubs:527084
Source identifiers:
527084
Deposit date:
2016-03-02

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