Asif Ferdous About this project

Research prototype · Machine learning

PVD and heart risk check

Estimates the risk of peripheral vascular disease (PVD) from routine health measures. If PVD is likely, a second model estimates cardiovascular risk and shows how much PVD adds to it.

Health details

All fields are needed. Units are years, centimetres, kilograms and mmHg.

Sex
Smokes?
Drinks alcohol?
Physically active?

Results

Results appear here instantly. Try switching models to compare them.

Enter the details and press Check risk.
Research prototype, not medical advice. This tool is for education and screening research only. It must not be used for diagnosis or treatment decisions. Always consult a qualified healthcare provider.

How it works

Stage one screens for PVD from 11 routine measures. If PVD is likely, stage two estimates cardiovascular risk and compares population risk with and without PVD.

Private by design

The trained models were converted from Python to JavaScript and run on your device. Your answers are never uploaded or stored.

Same results as the original

Checked against the original Python app on 32,040 predictions across all four models. Every decision matched.