Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data.
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| Title: | Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data. |
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| Authors: | Muehlensiepen, Felix1,2 (AUTHOR) felix.muehlensiepen@mhb-fontane.de, Petit, Pascal1 (AUTHOR), Knitza, Johannes1,3 (AUTHOR), Welcker, Martin4 (AUTHOR), Vuillerme, Nicolas1,5,6 (AUTHOR) |
| Source: | Rheumatology International. Mar2024, Vol. 44 Issue 3, p523-534. 12p. |
| 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: 175459305 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00296-023-05518-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 523 Titles: – TitleFull: Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muehlensiepen, Felix – PersonEntity: Name: NameFull: Petit, Pascal – PersonEntity: Name: NameFull: Knitza, Johannes – PersonEntity: Name: NameFull: Welcker, Martin – PersonEntity: Name: NameFull: Vuillerme, Nicolas IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01728172 Numbering: – Type: volume Value: 44 – Type: issue Value: 3 Titles: – TitleFull: Rheumatology International Type: main |
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