dushimep6/hypertension-risk-predictor-Rwanda

A machine learning-based tool for estimating individual hypertension risk, developed using data from the WHO Rwanda STEP Survey # Hypertension Risk Predictor — Rwanda A machine learning-based tool for estimating individual hypertension risk, developed using data from the WHO Rwanda STEP Survey. ## Live Application hypertension-risk-predictor… ## Overview Users provide demographic, lifestyle, and health-history information, with the option to add body measurements for a refined estimate. The tool returns a personalized hypertension risk score accompanied by tailored, evidence-based recommendations. ## Methodology The underlying model employs monotonic constraints on clinically directional variables to ensure predictions align with established medical understanding (e.g., risk increases with age, elevated BMI, and other known risk factors). Where clinical measurements are not provided by the user, nine variables (including BMI, waist circumference, heart rate, cholesterol, glucose, HDL, sodium, creatinine, and waist-hip ratio) are estimated using individually evidence-tested, demographically-restricted models. This approach was developed specifically to prevent lifestyle or behavioural responses from inadvertently influencing clinical estimates in ways inconsistent with sound epidemiological practice. The pipeline has been independently verified through systematic diagnostic testing to confirm the absence of such effects across all nine variables. ## Disclaimer This tool provides a risk estimate and associated recommendations. It does not constitute a clinical diagnosis. Blood pressure measurement by a qualified health professional is required for diagnostic purposes.