Open access
Sep 2026
Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning
Background: Metabolic syndrome (MetS) is a complex health problem significantly associated with cardiovascular diseases and type 2 diabetes mellitus. Traditional diagnostic approaches rely on invasive biochemical markers, which limit their accessibility. Here, we developed an explainable machine learning (ML) framework...
Islam A. Berdaweel, S. Al-Azzam, Ghaith M. Al-Taani et al.
· Diagnostics · 0 citations