Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study.

Patrick Saux,Pierre Bauvin,Violeta Raverdy, Julien Teigny,Hélène Verkindt, Tomy Soumphonphakdy, Maxence Debert,Anne Jacobs,Daan Jacobs,Valerie Monpellier,Phong Ching Lee,Chin Hong Lim,Johanna C Andersson-Assarsson,Lena Carlsson,Per-Arne Svensson,Florence Galtier,Guelareh Dezfoulian, Mihaela Moldovanu,Severine Andrieux,Julien Couster, Marie Lepage,Erminia Lembo,Ornella Verrastro,Maud Robert,Paulina Salminen,Geltrude Mingrone,Ralph Peterli,Ricardo V Cohen,Carlos Zerrweck,David Nocca,Carel W Le Roux,Robert Caiazzo,Philippe Preux,François Pattou

The Lancet. Digital health（2023）

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摘要

SOPHIA Innovative Medicines Initiative 2 Joint Undertaking, supported by the EU's Horizon 2020 research and innovation programme, the European Federation of Pharmaceutical Industries and Associations, Type 1 Diabetes Exchange, and the Juvenile Diabetes Research Foundation and Obesity Action Coalition; Métropole Européenne de Lille; Agence Nationale de la Recherche; Institut national de recherche en sciences et technologies du numérique through the Artificial Intelligence chair Apprenf; Université de Lille Nord Europe's I-SITE EXPAND as part of the Bandits For Health project; Laboratoire d'excellence European Genomic Institute for Diabetes; Soutien aux Travaux Interdisciplinaires, Multi-établissements et Exploratoires programme by Conseil Régional Hauts-de-France (volet partenarial phase 2, project PERSO-SURG).

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