CardioML Diagnostics.
High Resolution.
A high-precision risk stratification platform powered by an XGBoost ensemble classifier trained on over 70,000 longitudinal clinical patient records.
Clinical Stack
Environment
Frontend
Next.js / Tailwind / Motion
Compute
Flask / Scikit-learn
Data
NumPy / Pandas
Engine
Joblib / Gunicorn
Production API
mlbackend.jayvegad.dev
Edge Interface
Vercel Deployment
k
Clinical Annotated Records
%
Diagnostic Sensitivity
Physiological Features
~.8s
Inference Latency