Osteoporotic hip fracture prediction from risk factors available in administrative claims data - A machine learning approach.
Hans-Helmut KönigKatrin C ReberIvonne LindlbauerKilian RappGisela BücheleJochen KlenkAndreas Daniel MeidClemens BeckerHans-Helmut KönigPublished in: PloS one (2020)
The superlearner achieved similar predictive performance compared to the individual algorithms included. Nevertheless, in the presence of non-linearity and complex interactions, this method might be a flexible alternative to be considered for risk prediction in large datasets.