Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study ; volume:38 ; number:1 ; day:16 ; month:11 ; year:2023 ; pages:229-239 ; date:1.2024
Surgical endoscopy and other interventional techniques ; 38, Heft 1 (16.11.2023), 229-239, 1.2024
- Creator
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Vannucci, Maria
Niyishaka, Patrick
Collins, Toby
Rodríguez-Luna, María Rita
Mascagni, Pietro
Hostettler, Alexandre
Marescaux, Jacques
Perretta, Silvana
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00464-023-10520-0
- URN
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urn:nbn:de:101:1-2024032121483703879325
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:50 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Vannucci, Maria
- Niyishaka, Patrick
- Collins, Toby
- Rodríguez-Luna, María Rita
- Mascagni, Pietro
- Hostettler, Alexandre
- Marescaux, Jacques
- Perretta, Silvana
- SpringerLink (Online service)