Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18437

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DC Field	Value	Language
dc.contributor.author	Yousefi, L	-
dc.contributor.author	Saachi, L	-
dc.contributor.author	Bellazzi, R	-
dc.contributor.author	Chiovato, L	-
dc.contributor.author	Tucker, A	-
dc.date.accessioned	2019-06-13T14:26:00Z	-
dc.date.available	2017-11-10	-
dc.date.available	2019-06-13T14:26:00Z	-
dc.date.issued	2017-11-13	-
dc.identifier.citation	Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2017, 2017-June pp. 205 - 206	en_US
dc.identifier.isbn	9781538617106	-
dc.identifier.issn	1063-7125	-
dc.identifier.issn	http://dx.doi.org/10.1109/CBMS.2017.32	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/18437	-
dc.format.extent	205 - 206	-
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Diabetes,	en_US
dc.subject	Latent Variable,	en_US
dc.subject	Class Imbalance	en_US
dc.title	Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables	en_US
dc.type	Conference Paper	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/CBMS.2017.32	-
dc.relation.isPartOf	Proceedings - IEEE Symposium on Computer-Based Medical Systems	-
pubs.publication-status	Published	-
pubs.volume	2017-June	-
Appears in Collections:	Dept of Computer Science Research Papers

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