Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

Key Points

• Improved decision-making outcomes from utilizing disease probability scores during screening.
• The model achieves a specific accuracy level, significantly guiding clinicians in identifying conditions.
• Cross-sectional analysis employing machine learning methods highlights the importance of accurate screening.
• Suggests need for external validation and broader clinical application of findings in various healthcare settings.