An explainable machine learning approach to predict fragility fractures and the identification of important features.

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Title: An explainable machine learning approach to predict fragility fractures and the identification of important features.
Authors: Borhan, Sayem1,2,3 (AUTHOR) borhana@mcmaster.ca, Papaioannou, Alexandra3,4,5 (AUTHOR), Adachi, Jonathan4 (AUTHOR), Acharya, Shrey6 (AUTHOR), Morin, Suzanne N.7,8 (AUTHOR), Goltzman, David7,8 (AUTHOR), Hanley, David A.9 (AUTHOR), Berger, Claudie8 (AUTHOR), Thabane, Lehana1,2,3 (AUTHOR), Raina, Parminder1,3 (AUTHOR)
Source: Scientific Reports. 6/2/2026, Vol. 16 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 6/2/2026, Vol. 16 Issue 1, p1-11. 11p.
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