Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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
Vannucci, Maria
Niyishaka, Patrick
Collins, Toby
Rodríguez-Luna, María Rita
Mascagni, Pietro
Hostettler, Alexandre
Marescaux, Jacques
Perretta, Silvana
Contributor
SpringerLink (Online service)

DOI
10.1007/s00464-023-10520-0
URN
urn:nbn:de:101:1-2024032121483703879325
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:50 AM CEST

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Associated

  • Vannucci, Maria
  • Niyishaka, Patrick
  • Collins, Toby
  • Rodríguez-Luna, María Rita
  • Mascagni, Pietro
  • Hostettler, Alexandre
  • Marescaux, Jacques
  • Perretta, Silvana
  • SpringerLink (Online service)

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