Binary research model
XGBoost artifact trained for the paper framing: HIGH versus NON-HIGH.
Bangladesh smart healthcare research demo
Heart risk checks, but make it gentle.
A totally redesigned Next.js experience for the research paper’s binary CVD screening: HIGH versus NON-HIGH, powered by Flask fetch calls and a freshly trained model artifact.
Live API
Risk preview
HIGH / NON-HIGH
The backend returns the binary class, confidence, probability breakdown, model accuracy, and clinical next-step guidance.
Mode
Binary
Use
Screening
Clinical inputs
17 usable inputs after removing leakage-prone risk score and BP category fields.
Decision support
Designed for research demos and screening, not as a replacement for doctors.
Educational and research use only. Cardiovascular decisions should always be reviewed by a qualified healthcare professional.