Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning.
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| Title: | Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning. |
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| Authors: | Czako, Zoltan1 (AUTHOR) zoltan.czako@cs.utcluj.ro, Surdea-Blaga, Teodora2 (AUTHOR) Teodora.Surdea@umfcluj.ro, Sebestyen, Gheorghe1 (AUTHOR) gheorghe.sebestyen@cs.utcluj.ro, Hangan, Anca1 (AUTHOR) anca.hangan@cs.utcluj.ro, Dumitrascu, Dan Lucian2 (AUTHOR) Liliana.david@umfcluj.ro, David, Liliana2 (AUTHOR) popa.stefan@umfcluj.ro, Chiarioni, Giuseppe3 (AUTHOR) chiarioni@alice.it, Savarino, Edoardo4 (AUTHOR) edoardo.savarino@unipd.it, Popa, Stefan Lucian2 (AUTHOR) |
| Source: | Sensors (14248220). Jan2022, Vol. 22 Issue 1, p253-253. 1p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 154615424 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Czako%2C+Zoltan%22">Czako, Zoltan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zoltan.czako@cs.utcluj.ro</i><br /><searchLink fieldCode="AR" term="%22Surdea-Blaga%2C+Teodora%22">Surdea-Blaga, Teodora</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Teodora.Surdea@umfcluj.ro</i><br /><searchLink fieldCode="AR" term="%22Sebestyen%2C+Gheorghe%22">Sebestyen, Gheorghe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gheorghe.sebestyen@cs.utcluj.ro</i><br /><searchLink fieldCode="AR" term="%22Hangan%2C+Anca%22">Hangan, Anca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anca.hangan@cs.utcluj.ro</i><br /><searchLink fieldCode="AR" term="%22Dumitrascu%2C+Dan+Lucian%22">Dumitrascu, Dan Lucian</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Liliana.david@umfcluj.ro</i><br /><searchLink fieldCode="AR" term="%22David%2C+Liliana%22">David, Liliana</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> popa.stefan@umfcluj.ro</i><br /><searchLink fieldCode="AR" term="%22Chiarioni%2C+Giuseppe%22">Chiarioni, Giuseppe</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> chiarioni@alice.it</i><br /><searchLink fieldCode="AR" term="%22Savarino%2C+Edoardo%22">Savarino, Edoardo</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> edoardo.savarino@unipd.it</i><br /><searchLink fieldCode="AR" term="%22Popa%2C+Stefan+Lucian%22">Popa, Stefan Lucian</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2022, Vol. 22 Issue 1, p253-253. 1p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=154615424 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s22010253 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 253 Titles: – TitleFull: Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Czako, Zoltan – PersonEntity: Name: NameFull: Surdea-Blaga, Teodora – PersonEntity: Name: NameFull: Sebestyen, Gheorghe – PersonEntity: Name: NameFull: Hangan, Anca – PersonEntity: Name: NameFull: Dumitrascu, Dan Lucian – PersonEntity: Name: NameFull: David, Liliana – PersonEntity: Name: NameFull: Chiarioni, Giuseppe – PersonEntity: Name: NameFull: Savarino, Edoardo – PersonEntity: Name: NameFull: Popa, Stefan Lucian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Sensors (14248220) Type: main |
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