Salam Shannag

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 exp...