Know your risk before it becomes your reality
An end-to-end Type 2 diabetes risk prediction platform powered by XGBoost and Explainable AI, providing accurate predictions and transparent, clinician-friendly explanations.
Sample Prediction Result
537M+
Adults with diabetes globally
90%
Are Type 2 diabetes cases
85%+
Model accuracy
14
Clinical risk factors used
How It Works
A complete ML pipeline from clinical data to explainable predictions
XGBoost Classifier
Trained on BRFSS clinical survey data across 14 established risk factors.
SHAP Explainability
Every prediction comes with a clear explanation of which factors drove it.
Batch Analytics
Upload a CSV of patients and get population-level risk analytics instantly.
Clinician-Friendly
Risk broken down by age, BMI, and lifestyle ready for clinical review.
Ready to assess your risk?
Answer 14 clinical questions and get your personalised diabetes risk score with SHAP explanations, no account required.
Start Risk Assessment