Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study

• Hoofdauteur: Dayeon Shin (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMC, 2024-09-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Abstract Introduction Metabolic syndrome is a chronic disease associated with multiple comorbidities. Over the last few years, machine learning techniques have been used to predict metabolic syndrome. However, studies incorporating demographic, clinical, laboratory, dietary, and genetic factors to p...