EHR- and DXA-based survival models outperform clinically reported FRAX scores for ranking fragility fracture risk in DXA-tested adults (internal C-index 0.779 vs 0.653; external 0.714 vs 0.590).
Machine learning principles can improve hip frac- ture prediction.Calcified Tissue International, 100(4):348–360, 2017
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Fracture Risk Prediction in Adults Over 50 Years Old Using DXA and EHR: Comparison of Traditional and Machine Learning Models in Two Large Cohorts
EHR- and DXA-based survival models outperform clinically reported FRAX scores for ranking fragility fracture risk in DXA-tested adults (internal C-index 0.779 vs 0.653; external 0.714 vs 0.590).