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Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review

Crossref DOI link: https://doi.org/10.1186/s12911-022-01751-7

Published Online: 2022-01-20

Published Print: 2022-12

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

Authors

Langenberger, Benedikt

Thoma, Andreas

Vogt, Verena
Funding

Funding for this research was provided by:

Technische Universität Berlin
License Information

Text and Data Mining valid from 2022-01-20

Version of Record valid from 2022-01-20
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Article History

Received: 15 June 2021

Accepted: 6 January 2022

First Online: 20 January 2022

Declarations

:

: Not applicable.

: Not applicable.

: All authors affirm that they have no competing interest.

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