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

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

Summary: Background: Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajecto...

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Main Authors: Patrick Saux, MSc, Pierre Bauvin, PhD, Violeta Raverdy, MD, Julien Teigny, BEng, Hélène Verkindt, MD, Tomy Soumphonphakdy, MSc, Maxence Debert, MSc, Anne Jacobs, MSc, Daan Jacobs, BSc, Valerie Monpellier, PhD, Phong Ching Lee, MBChB, Chin Hong Lim, FRCS, Johanna C Andersson-Assarsson, PhD, Lena Carlsson, ProfMD, Per-Arne Svensson, ProfPhD, Florence Galtier, MD, Guelareh Dezfoulian, MD, Mihaela Moldovanu, MD, Severine Andrieux, MD, Julien Couster, MD, Marie Lepage, MD, Erminia Lembo, MD, Ornella Verrastro, PhD, Maud Robert, ProfMD PhD, Paulina Salminen, ProfMD PhD, Geltrude Mingrone, ProfMD PhD, Ralph Peterli, MD, Ricardo V Cohen, MD PhD, Carlos Zerrweck, ProfMD, David Nocca, ProfMD PhD, Carel W Le Roux, ProfMD PhD, Robert Caiazzo, ProfMD PhD, Philippe Preux, ProfPhD, François Pattou, ProfMD PhD
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750023001358

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http://www.sciencedirect.com/science/article/pii/S2589750023001358

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