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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Detalles Bibliográficos
Autores principales: Engels, Alexander, Reber, Katrin C., Lindlbauer, Ivonne, Rapp, Kilian, Büchele, Gisela, Klenk, Jochen, Meid, Andreas, Becker, Clemens, König, Hans-Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237034/
https://www.ncbi.nlm.nih.gov/pubmed/32428007
http://dx.doi.org/10.1371/journal.pone.0232969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237034/
https://www.ncbi.nlm.nih.gov/pubmed/32428007
http://dx.doi.org/10.1371/journal.pone.0232969

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