Artificial neural networks to identify naturally existing disease severity status.
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| Title: | Artificial neural networks to identify naturally existing disease severity status. |
|---|---|
| Authors: | Waidyarathne, K.1, Samarasinghe, S.1, sandhya.samarasinghe@lincoln.ac.nz |
| Source: | Neural Computing & Applications; Oct2014, Vol. 25 Issue 5, p1031-1041, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 98148769 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=aci&AN=98148769 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-014-1572-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1031 Titles: – TitleFull: Artificial neural networks to identify naturally existing disease severity status. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Waidyarathne, K. – PersonEntity: Name: NameFull: Samarasinghe, S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 25 – Type: issue Value: 5 Titles: – TitleFull: Neural Computing & Applications Type: main |
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