CardioRisk AI
An intelligent clinical risk prediction system powered by Machine Learning. CardioRisk AI analyzes essential physiological biomarkers, lifestyle metrics, and vitals to predict cardiovascular disease risk with real-time confidence scoring and clinical guidance.
Key Capabilities of the System
Multi-Factor Assessment
Evaluates 11 vital patient features including age, gender, BMI, systolic and diastolic blood pressure, cholesterol, glucose, and lifestyle factors (smoking, alcohol, physical activity).
Machine Learning Engine
Utilizes a trained Logistic Regression classification model combined with StandardScaler feature transformation, providing calibrated probability estimates and robust risk categorization.
Actionable Guidance
Generates clinical recommendations tailored to the patient's blood pressure stage (AHA criteria), BMI classification, and specific metabolic and lifestyle risk indicators.
How the Prediction System Works
Enter Patient Metrics
Input clinical vitals, body measurements, and lifestyle behaviors into the simple, guided assessment form.
ML Model Processing
StandardScaler standardizes feature scales and the trained Logistic Regression model calculates cardiac disease probability.
Receive Comprehensive Report
Get instant visual risk classification, animated risk gauge, BMI calculation, and individualized medical recommendations.
Ready for a Cardiovascular Risk Assessment?
Perform a quick, non-invasive risk check based on Machine Learning algorithms trained on comprehensive clinical patient data.
Start Check Up Now