Personalizing bariatric metabolic surgery : Predictors of weight-loss success and risk of weight recurrence
Background Bariatric metabolic surgery (Roux-en-Y gastric bypass [RYGB] and sleeve gastrectomy [SG]) effectively treats obesity and type 2 diabetes; however, weight loss varies, necessitating predictive factors. Methods We analysed 12- and 24-month weight loss data from 811 patients (RYGB or SG). Factor Analysis of Mixed Data and neural network (NN) modelling identified distinct patient phenotypes
