Published in PLOS Medicine · View the paper (DOI)
A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy and identify individuals at high risk without in-person assessment. The tool performed nearly seven times better than current screening methods in identifying at-risk individuals.
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