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AfricureAnalytics

Health analytics for institutions, researchers, and programmes. Risk scoring, reporting, population monitoring, and research tools.

General enquiries
hello@africureanalytics.com
Phone
+2349023885989
Address
Lagos, Nigeria

Company

  • About
  • Team
  • Impact
  • Partnerships

Solutions

  • All solutions
  • Diabetes risk analytics
  • Image pattern analytics
  • Population analytics
  • Live demos

Trust

  • Research and methodology
  • Security
  • Privacy policy
  • Evidence and governance
  • Scope and intended use

Important notice: Africure Analytics focuses on analytics, reporting, interpretation, and monitoring workflows. Public product pages describe analytical scope only.

PrivacyTermsScope and intended use

Copyright 2026 Africure Analytics. All rights reserved.

Interactive demo

Diabetes Risk Analytics Demo

See how age, BMI, family history, and lifestyle factors produce a risk score for diabetes planning and outreach.

Interactive demoAnalytics workbenchSample inputs
Open R Shiny demoView solution details
Live demo

Diabetes Risk Analytics Demo

See how age, BMI, family history, and lifestyle factors produce a risk score for diabetes planning and outreach.

Uses sample inputs for analytics review, reporting, and evaluation. Not for diagnosis or treatment decisions.
Analytical output
67
Elevated planning band

Composite score from weighted input factors

Best used for cohort review, reporting, and prevention planning alongside programme and clinical context.

Key drivers
  • Mid-life age band
  • Elevated BMI band
  • Family history present