Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric Surgery

Abstract

Obesity is defined as a body mass index (BMI) of 30 kg/m2 or greater. Obesity is a complex medical condition characterized by excess body fat that increases the risk of developing co-morbidities like cardiovascular disease (CVD) and diabetes. Excess weight is a global concern with an ever-growing prevalence. This research study aims to develop effective and practical post-surgical guidelines based on clinical data to determine potential predictors of surgical success. With this information, clinicians and patients can work together to minimize long-term weight regain post-surgery. To fulfill this goal, we applied various machine learning (ML) algorithms to model our dataset and provide a list of critical features to target to have more successful long-term weight-loss outcomes. Fortunately, our ML models achieved outstanding Mean Absolute Errors (0.10-0.22).