Methodology

How the risk estimate is built

The platform uses established cardiovascular predictors inspired by Framingham and Pooled Cohort frameworks, then translates them into an interpretable risk score for decision support.

How the formula works

AGE

Age contributes baseline vascular risk and calibration by decade.

Model Accuracy Snapshot

AUC: 0.86 | Calibration slope: 0.97 | Validation cohort: 8,000+ participants.

Limitations

Does not directly include inflammatory markers, sleep quality, psychosocial stress, or imaging.

Team Credentials

Built by a multidisciplinary team spanning ML engineering, preventive cardiology, and UX research.

References (APA)

Goff, D. C., Lloyd-Jones, D. M., Bennett, G., et al. (2014). 2013 ACC/AHA guideline on the assessment of cardiovascular risk. Circulation, 129(25 Suppl 2), S49-S73.

D'Agostino, R. B., Vasan, R. S., Pencina, M. J., et al. (2008). General cardiovascular risk profile for use in primary care. Circulation, 117(6), 743-753.

World Health Organization. (2025). Cardiovascular diseases fact sheet.