Registry-based model predicts hip fracture risk better than current screening

A machine-learning instrumentality built from Swedish nationalist wellness registry information tin foretell hep fracture hazard with precocious accuracy without an in-person appraisal and identifies acold much at-risk individuals than existent objective screening practices, according to a survey published Aug. 27 successful the diary PLOS Medicine by Kristian Axelsson and Mattias Lorentzon of the University of Gothenburg, Sweden, and colleagues.