Interpretable (“Explainable”) Machine Learning in Osteoporosis Case Finding: Using SHAP values in clinical decision-support for the FREM Fracture Prediction Algorithm

We propose to evaluate the FREM -based relative risk estimates to promote osteoporosis case-finding in general practice. Importantly this alerts practitioners not only to the level of risk but also to the personalized factors driving the risk assessment.