Metabolic Syndrome Risk Clustering (2D)

Metabolic syndrome isn't diagnosed from a single blood test — it's a threshold count over five cardiometabolic markers (waist circumference, triglycerides, HDL cholesterol, blood pressure and fasting glucose) defined by the NCEP ATP III clinical criteria. This 2D statistics simulator builds a synthetic cohort of 500 patients whose five markers are drawn from a genuine correlated multivariate normal distribution — factored with a Cholesky decomposition of a realistic 5×5 correlation matrix, not five independent random numbers — so the real-world clustering between abdominal fat, dyslipidaemia and glucose intolerance is visible directly in the scatter plot and criteria-count histogram. An individual risk tool lets you set one marker and watch the other four shift by their exact conditional-mean formula, showing the correlated risk clustering that drives real cardiovascular and diabetes risk.