Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea

• Hoofdauteurs: Junho Kim (Auteur), Sujeong Mun (Auteur), Siwoo Lee (Auteur), Kyoungsik Jeong (Auteur), Younghwa Baek (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMC, 2022-04-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Abstract Background Metabolic syndrome (MetS) is a complex condition that appears as a cluster of metabolic abnormalities, and is closely associated with the prevalence of various diseases. Early prediction of the risk of MetS in the middle-aged population provides greater benefits for cardiovascula...