Identifying Key Predictors of Sarcopenic Obesity in Italian Severely Obese Older Adults: Deep Learning Approach.
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| Title: | Identifying Key Predictors of Sarcopenic Obesity in Italian Severely Obese Older Adults: Deep Learning Approach. |
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| Authors: | Cândido, Leticia Martins1 (AUTHOR), Bae, Jun-Hyun2 (AUTHOR), Kim, Dae Young3 (AUTHOR), Bayartai, Munkh-Erdene4 (AUTHOR), Abbruzzese, Laura5 (AUTHOR), Fanari, Paolo6 (AUTHOR), De Micheli, Roberta7 (AUTHOR), Tringali, Gabriella7,8 (AUTHOR), Danielewicz, Ana Lúcia1,8 (AUTHOR) ana.lucia.d@ufsc.br, Sartorio, Alessandro2,7 (AUTHOR) |
| Source: | Journal of Clinical Medicine. May2025, Vol. 14 Issue 9, p3069. 14p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 185130419 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=185130419 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jcm14093069 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3069 Titles: – TitleFull: Identifying Key Predictors of Sarcopenic Obesity in Italian Severely Obese Older Adults: Deep Learning Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cândido, Leticia Martins – PersonEntity: Name: NameFull: Bae, Jun-Hyun – PersonEntity: Name: NameFull: Kim, Dae Young – PersonEntity: Name: NameFull: Bayartai, Munkh-Erdene – PersonEntity: Name: NameFull: Abbruzzese, Laura – PersonEntity: Name: NameFull: Fanari, Paolo – PersonEntity: Name: NameFull: De Micheli, Roberta – PersonEntity: Name: NameFull: Tringali, Gabriella – PersonEntity: Name: NameFull: Danielewicz, Ana Lúcia – PersonEntity: Name: NameFull: Sartorio, Alessandro IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20770383 Numbering: – Type: volume Value: 14 – Type: issue Value: 9 Titles: – TitleFull: Journal of Clinical Medicine Type: main |
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