Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database

Keyphrases

• Non-alcoholic Fatty Liver Disease (NAFLD) 100%
• United States Population 100%
• NHANES Database 100%
• Machine Learning Models 100%
• Fatty Liver Index 33%
• Boosted Trees 33%
• Model Interpretability 33%
• Random Undersampling 33%
• Waist Circumference 16%
• Patient Identification 16%
• NHANES 16%
• Exclusion Criteria 16%
• Chronic Liver Disease 16%
• Machine Learning Algorithms 16%
• Training Phase 16%
• Index Accuracy 16%
• Fasting C-peptide 16%
• Training Dataset 16%
• Disease-related Factors 16%

Medicine and Dentistry

• Nonalcoholic Fatty Liver 100%
• National Health and Nutrition Examination Survey 100%
• Fatty Liver 16%
• Chronic Liver Disease 16%
• C-Peptide 16%
• Machine Learning Algorithm 16%

Biochemistry, Genetics and Molecular Biology

• NHANES 100%
• Waist Circumference 50%
• C-Peptide 50%