Predict of Non-alcoholic Fatty Liver Disease Using Anthropometric Analyzing and Obesity Degree by Machine Learning

Background and aims: Non-alcoholic fatty liver disease (NAFLD) is one of the most importantcomplications of obesity, especially abdominal obesity. Increased visceral fat is the most importantrisk factors for this. Diseases that are caused by the pathogenesis of insulin resistance areclosely related to this disease. The aim of this study is to investigate the effect of obesity degreeand anthropometric changes in predicting liver steatosis and fibrosis based on artificial intelligence.Methods: A cross-sectional study was conducted among ۶۵۰ individuals over the age of ۱۸ withouta history of continuous alcohol consumption and underlying liver disease in two southern andeastern provinces of Iran. Anthropometric and body composition measurements were performedmanually and body composition analyzer In Body ۲۷۰. Hepatic steatosis and fibrosis were determinedusing a Fibro scan. ML methods including k-Nearest Neighbor (kNN), Support Vector Machine(SVM), Radial Basis Function (RBF) SVM, Gaussian Process (GP), Random Forest (RF),Neural Network (NN), Daboost and Naïve Bayes were examined for model performance and toidentify anthropometric and body composition predictors of fatty liver disease.Results: RF generated the most accurate model for fatty liver (presence of any stage), steatosisstages and fibrosis stages with ۸۲%, ۵۲% and ۵۷% accuracy, respectively. Abdomen circumference,obesity degree, Waist to hip ratio, Waist circumference, trunk fat and body mass index wereamong the most important variables contributing to fatty liver disease.Conclusion: ML-based prediction of NAFLD using obesity degree and visceral obesity rate andeffective anthropometric data. It can help physicians at any level of health in early diagnosis of thedisease and prevention of the progression of the disease towards the occurrence of fibrotic liverand cirrhosis complications.

کلیدواژه ها:

Artificial Intelligence ، Fibro scan ، Steatosis ، Liver Fibrosis ، obesity degree