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AfricureAnalytics

Health analytics tools for institutions, researchers, and programmes across Africa.

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Africure Analytics builds analytics, reporting, and monitoring tools. We do not provide clinical services or medical advice.

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Interactive demo

Diabetes Risk Analytics Demo

See how atherogenic index of plasma, waist-hip ratio, catalase, and triglyceride values produce a Type II diabetes risk score.

Interactive demoAnalytics workbenchSample inputs
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Live demo

Diabetes Risk Analytics Demo

See how atherogenic index of plasma, waist-hip ratio, catalase, and triglyceride values produce a Type II diabetes risk score.

Reference: Ojurongbe, T. A., Afolabi, H. A., Oyekale, A., Bashiru, K. A., Ayelagbe, O., Ojurongbe, O., ... & Adegoke, N. A. (2024). Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes. Health Science Reports, 7(1), e1834.

Analytical output
45.52%
Moderate diabetic risk band

Estimated risk from weighted input factors

Results interpretation

The probability of having Type II diabetic is 45.52%. In other words, 45.52 out of 100 people with the same risk factors as your patient will have Type II diabetic.

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

Key drivers
  • Elevated atherogenic index of plasma
  • Elevated triglyceride level