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 administrati...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Engels, Alexander, Reber, Katrin C., Lindlbauer, Ivonne, Rapp, Kilian, Büchele, Gisela, Klenk, Jochen, Meid, Andreas, Becker, Clemens, König, Hans-Helmut
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7237034/
https://ncbi.nlm.nih.gov/pubmed/32428007
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0232969
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