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

• Prif Awduron: Junho Kim (Awdur), Sujeong Mun (Awdur), Siwoo Lee (Awdur), Kyoungsik Jeong (Awdur), Younghwa Baek (Awdur)
• Fformat: Llyfr
• Cyhoeddwyd: BMC, 2022-04-01T00:00:00Z.
• Pynciau: article
• Mynediad Ar-lein: 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...