Journal article
Multitask Gaussian processes for multivariate physiological time-series analysis.
- Abstract:
-
Gaussian process (GP) models are a flexible means of performing nonparametric Bayesian regression. However, GP models in healthcare are often only used to model a single univariate output time series, denoted as single-task GPs (STGP). Due to an increasing prevalence of sensors in healthcare settings, there is an urgent need for robust multivariate time-series tools. Here, we propose a method using multitask GPs (MTGPs) which can model multiple correlated multivariate physiological time ser...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1109/tbme.2014.2351376
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Authors
Funding
+ Research Councils UK
More from this funder
Funding agency for:
Pimentel, M
Grant:
Digital Economy Program
EP/G036861/1
+ Fundação do Ministério de Ciência e Tecnologia de Portugal
More from this funder
Funding agency for:
Pimentel, M
Grant:
Digital Economy Program
EP/G036861/1
+ National Institute for Health Research
Oxford Biomedical Research Centre
More from this funder
Funding agency for:
Clifton, L
+ Royal Academy of Engineering
More from this funder
Funding agency for:
Clifton, D
Grant:
Centre of Excellence
in Personalized Healthcare; WT 088877/Z/09/Z
+ Balliol College, Oxford
More from this funder
Funding agency for:
Clifton, D
Grant:
Centre of Excellence
in Personalized Healthcare; WT 088877/Z/09/Z
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Publication date:
- 2015-01-01
- DOI:
- EISSN:
-
1558-2531
- ISSN:
-
0018-9294
- Source identifiers:
-
504520
Item Description
- Language:
- eng
- Keywords:
- Pubs id:
-
pubs:504520
- UUID:
-
uuid:13522376-845d-41e8-9fc8-81a17d33e2d6
- Local pid:
- pubs:504520
- Deposit date:
- 2016-01-18
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2015
- Notes:
- Copyright © 2014 IEEE.
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