A novel data-driven health status assessment model based on multiple criteria appraisal recommendation with three-parameter interval grey number

Key Points

• The data-driven model enhances health status assessment using multiple criteria.
• Key evidence shows that it offers better accuracy in evaluations compared to conventional methods.
• This model employs interval grey numbers to handle uncertainty in health data effectively.
• Implications suggest that this approach may enable more reliable health assessments, but external validation is necessary.