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Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis

Crossref DOI link: https://doi.org/10.1007/s00198-020-05735-z

Published Online: 2021-01-07

Published Print: 2021-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

de Vries, B. C. S. https://orcid.org/0000-0002-0982-9873
Hegeman, J. H. https://orcid.org/0000-0003-2188-2738
Nijmeijer, W. https://orcid.org/0000-0002-5799-9690
Geerdink, J. https://orcid.org/0000-0001-6718-6653
Seifert, C. https://orcid.org/0000-0002-6776-3868
Groothuis-Oudshoorn, C. G. M. https://orcid.org/0000-0002-4875-5379
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Text and Data Mining valid from 2021-01-07

Version of Record valid from 2021-01-07
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Article History

Received: 29 June 2020

Accepted: 8 November 2020

First Online: 7 January 2021

Compliance with ethical standards

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: None.

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