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
Titel:
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
Auteur:
Saux, Patrick Bauvin, Pierre Raverdy, Violeta Teigny, Julien Verkindt, Hélène Soumphonphakdy, Tomy Debert, Maxence Jacobs, Anne Jacobs, Daan Monpellier, Valerie Lee, Phong Ching Lim, Chin Hong Andersson-Assarsson, Johanna C Carlsson, Lena Svensson, Per-Arne Galtier, Florence Dezfoulian, Guelareh Moldovanu, Mihaela Andrieux, Severine Couster, Julien Lepage, Marie Lembo, Erminia Verrastro, Ornella Robert, Maud Salminen, Paulina Mingrone, Geltrude Peterli, Ralph Cohen, Ricardo V Zerrweck, Carlos Nocca, David Le Roux, Carel W Caiazzo, Robert Preux, Philippe Pattou, François
Verschenen in:
The Lancet. Digital health
Paginering:
Jaargang 5 () nr. 10 pagina's e692-e702
Jaar:
2023
Inhoud:
Uitgever:
The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license