A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks.
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| Title: | A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks. |
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| Authors: | Verplancke, T.1 thierry.verplancke@ugent.be, Looy, S. Van2, Steurbaut, K.2, Benoit, D.1, De Turck, F.2, De Moor, G.3, Decruyenaere, J.1 |
| Source: | BMC Medical Informatics & Decision Making. 2010, Vol. 10 Issue 1, Special section p1-7. 7p. 3 Diagrams, 1 Chart. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 48636410 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=48636410 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/1472-6947-10-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Titles: – TitleFull: A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Verplancke, T. – PersonEntity: Name: NameFull: Looy, S. Van – PersonEntity: Name: NameFull: Steurbaut, K. – PersonEntity: Name: NameFull: Benoit, D. – PersonEntity: Name: NameFull: De Turck, F. – PersonEntity: Name: NameFull: De Moor, G. – PersonEntity: Name: NameFull: Decruyenaere, J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 14726947 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: BMC Medical Informatics & Decision Making Type: main |
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