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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

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