Title of the selected use case prediction problem

Description of the prediction problem for the selected use case.

Time at risk
Target cohort Outcome cohort Adjustable covariates
Target cohort
target cohort description. 		Outcome cohort
outcome cohort description.
Baseline values Modified values
Covariate name 1
Cov ID 1 		Original cov value 1
Covariate name 2
Cov ID 2 		Original cov value 2
Covariate name 3
Cov ID 3 		Original cov value 3
Covariate name 4
Cov ID 4 		Original cov value 4
Risk estimate
Return to patient stratification Generate Modified Prediction Score

About the models

These models are developed using longitudinal cohort data and incorporate a wide range of variables, including:

  • Demographic factors (e.g. age, sex)
  • Clinical characteristics (e.g. blood pressure, comorbidities)
  • Biochemical markers (e.g. cholesterol levels, kidney function)
  • Medication exposure over time

The models have undergone evaluation using a dedicated bias and fairness assessment framework to identify and mitigate potential disparities across population subgroups.

For more information, including detailed model specifications, performance metrics, and fairness assessments, please visit the PREPARE Middleware

Disclaimer: This Clinical Decision Support System (CDSS) has been developed as part of a research initiative. While every effort has been made to ensure the accuracy, relevance, and timeliness of the information provided, the consortium makes no guarantees regarding its completeness, reliability, or current applicability in clinical practice. The information presented by this tool is intended to support — not replace — clinical judgment. Users are advised to interpret the outputs in the context of their own clinical expertise and patient-specific considerations. Any errors or issues brought to our attention will be addressed as appropriate, within the scope of the project. The consortium reserves the right to modify or update the content at any time without prior notice. The consortium accepts no responsibility or liability for any loss, harm, or adverse outcome resulting directly or indirectly from the use of this tool or reliance on its outputs.