Interactive analysis of health indicators from BRFSS 2015 dataset
Cross-Country Analysis: US (BRFSS) & Canada (CCHS) Health Data
This dashboard analyzes diabetes risk factors using two major health survey datasets from North America:
253,680 records
Behavioral Risk Factor Surveillance System
All 50 US states, DC, and territories
108,252 records
Canadian Community Health Survey
All Canadian provinces and territories
Total Records
Diabetes Cases
Average BMI
High BP Rate
Interactive analysis of health indicators and their relationships with diabetes.
Machine learning models trained and validated on both US and Canadian datasets for robust diabetes prediction.
| Model | 🇺🇸 US (BRFSS) | 🇨🇦 Canada (CCHS) | Performance Gap |
|---|---|---|---|
| Logistic Regression | 0.8149 | 0.7729 | +0.0420 |
| Random Forest | 0.7913 | 0.7055 | +0.0858 |
| XGBoost | 0.8206 | 0.7315 | +0.0891 |
Best US Model (XGBoost)
Best Canada Model (Logistic)
Both Countries
Enter your health information to get a personalized diabetes risk assessment based on both US and Canadian health data.
This prediction model is trained on 361,932 health records from both the United States and Canada, providing robust and validated risk assessment.