Journal article
Fusing continuous-valued medical labels using a Bayesian Model
- Abstract:
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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
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 308.3KB)
-
- Publisher copy:
- 10.1007/s10439-015-1344-1
Authors
Funding
+ Kellogg College
More from this funder
Funding agency for:
Zhu, T
Grant:
ARM Scholarship in Sustainable Healthcare Technology
+ RCUK Digital Economy Programme
More from this funder
Funding agency for:
Zhu, T
Grant:
ARM Scholarship in Sustainable Healthcare Technology
Bibliographic Details
- 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:
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1573-9686
- ISSN:
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0090-6964
Item Description
- 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
Terms of use
- Copyright holder:
- Biomedical Engineering Society
- Copyright date:
- 2015
- Notes:
- © Biomedical Engineering Society 2015, published by Springer Verlag under license. This is the accepted manuscript version of the article. The final version is available online from Springer at: [10.1007/s10439-015-1344-1]
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