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AfricureAnalytics

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

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hello@africureanalytics.com
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+2349023885989
Address
Lagos, Nigeria

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

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

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Interactive demo

Osteoporosis Analytical Demo

See how age, BMI, eGFR, gender, smoking status, and testosterone produce an osteoporosis risk estimate.

Interactive demoAnalytics workbenchSample inputs
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Live demo

Osteoporosis Analytical Demo

See how age, BMI, eGFR, gender, smoking status, and testosterone produce an osteoporosis risk estimate.

Reference: Model currently under peer review for publication. Reference will be updated upon publication.

Analytical output
21.30%
Lower osteoporosis risk band

Estimated risk from weighted input factors

Results interpretation

The probability of having osteoporosis is 21.30%. In other words, 21.30 out of 100 people with the same risk factors as your patient will have osteoporosis.

Best used for research review, cohort stratification, and osteoporosis prevention planning.

Key drivers
  • Female gender