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AI-powered diabetes risk screening system Empowering early detection
DiabeScreen is an intelligent diabetes risk prediction system designed specifically for Primary Healthcare Centres to enable early detection and intervention.
Using a Decision Tree machine learning model, the system analyzes key health indicators to assess an individual's risk of developing diabetes and provides evidence-based recommendations.
Our Decision Tree model has been trained and validated on diverse clinical data
The screening system follows risk assessment parameters aligned with American Diabetes Association (ADA) and WHO diabetes screening recommendations. Key risk factors include: age, BMI, blood pressure, glucose levels, family history, and lifestyle factors.
Developed for Primary Healthcare Centres to enable early diabetes detection
Built with Django & Machine Learning | Continuous improvement through feedback | HIPAA-compliant practices
Version 1.0 | © 2026 DiabeScreen | Evidence-based risk assessment