About CardioPredict
How the System Works
CardioPredict uses machine learning models trained on cardiovascular health datasets to assess disease risk using clinically relevant indicators.
The system evaluates:
- Demographic data (age, gender)
- Body measurements (height, weight, BMI)
- Blood pressure values
- Cholesterol and glucose levels
- Lifestyle factors (smoking, alcohol, activity)
Results are presented as a clear risk category with practical recommendations for prevention and follow-up.
Medical Disclaimer
This tool is intended for informational purposes only.
CardioPredict does not replace professional medical advice, diagnosis, or treatment. Risk predictions are generated using statistical models and may not reflect all individual health factors.
Always consult qualified healthcare professionals:
- Do not ignore medical advice
- Do not delay care based on these results
- Seek professional diagnosis and treatment plans
For urgent symptoms such as chest pain or breathing difficulty, seek emergency medical care immediately.
Data Privacy
All health data entered into CardioPredict is processed securely and is not stored permanently.
Hospital CSV uploads are processed in memory and returned immediately without long-term retention.
This is a demonstration system. Production deployments would implement encryption, compliance standards (HIPAA/GDPR), and secure infrastructure.