Osteoporotic hip fracture prediction from risk factors available in administrative claims data - A machine learning approach.

OBJECTIVE:Hip fractures are among the most frequently occurring fragility fractures in older adults, associated with a loss of quality of life, high mortality, and high use of healthcare resources. The aim was to apply the superlearner method to predict osteoporotic hip fractures using administrativ...

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Bibliografiska uppgifter

Huvudupphov:	Alexander Engels, Katrin C Reber, Ivonne Lindlbauer, Kilian Rapp, Gisela Büchele, Jochen Klenk, Andreas Meid, Clemens Becker, Hans-Helmut König
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Public Library of Science (PLoS) 2020-01-01
Serie:	PLoS ONE
Länkar:	https://doi.org/10.1371/journal.pone.0232969
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