#2083 Age-specific relationship between Insulin Resistance and Obesity : a machine learning-based interpretation machine learning-based interpretation

Abstract Background and Aims There has been a threefold surge in the global prevalence of obesity over the last four decades. Obesity is related to the increased risk of cardiovascular and kidney disease. Obesity in the elderly exhibits distinct features, such as sarcopenia and an increased visceral fat mass. We investigate the risk factors for obesity according to age by developing machine learning (ML) model. Method We performed ML analysis on 3768 individuals whose age was over 18 from the 2021 Korea National Health and Nutrition Examination Survey dataset. ML predicted individual body mass index (BMI) values, and the predictive values were labeled into normal (BMI<25 kg/m2) and obese (BMI>25 kg/m2). Through 5-fold cross-validation, the performance and SHapley Additive exPlanations (SHAP) values, representing the feature importance in each sample, were calculated in the test set of every fold and collected. Results The Light Gradient Boosting Machine dem