Diabetes Risk Analytics Demo
Enter a few patient measurements (such as waist-hip ratio and blood-fat levels) and see a Type II diabetes risk score with the factors behind it. Adjust the sample values and the score, band, and drivers recompute as you type. For analytics and research, not clinical diagnosis.
These are sample values, already filled in. Change any number and the score updates. You do not need to be an expert to try it.
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.
Estimated risk from weighted input factors
The model estimates a 45.52% Type II diabetes risk for this profile. This is an illustrative estimate on sample data, not an observed rate; calibration is reported per project.
Best used for cohort review, reporting, and prevention planning alongside clinical context.
- Elevated atherogenic index of plasma
- Elevated triglyceride level