Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.
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| Title: | Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients. |
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| Authors: | Paddenberg-Schubert, Eva1 (AUTHOR), Midlej, Kareem2 (AUTHOR), Krohn, Sebastian1 (AUTHOR), Schröder, Agnes1 (AUTHOR), Awadi, Obaida3 (AUTHOR), Masarwa, Samir3 (AUTHOR), Lone, Iqbal M.2 (AUTHOR), Zohud, Osayd2 (AUTHOR), Kirschneck, Christian4 (AUTHOR), Watted, Nezar3,5,6 (AUTHOR), Proff, Peter1 (AUTHOR), Iraqi, Fuad A.1,2,6 (AUTHOR) fuadi@tauex.tau.ac.il |
| Source: | Scientific Reports. 4/13/2025, Vol. 15 Issue 1, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 184452244 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-97717-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Paddenberg-Schubert, Eva – PersonEntity: Name: NameFull: Midlej, Kareem – PersonEntity: Name: NameFull: Krohn, Sebastian – PersonEntity: Name: NameFull: Schröder, Agnes – PersonEntity: Name: NameFull: Awadi, Obaida – PersonEntity: Name: NameFull: Masarwa, Samir – PersonEntity: Name: NameFull: Lone, Iqbal M. – PersonEntity: Name: NameFull: Zohud, Osayd – PersonEntity: Name: NameFull: Kirschneck, Christian – PersonEntity: Name: NameFull: Watted, Nezar – PersonEntity: Name: NameFull: Proff, Peter – PersonEntity: Name: NameFull: Iraqi, Fuad A. IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 04 Text: 4/13/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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