Crossmark

Machine‐learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee

Crossref DOI link: https://doi.org/10.1007/s00167-020-06418-2

Published Online: 2021-01-15

Published Print: 2021-10

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

Authors

Choi, Eun‐Seok https://orcid.org/0000-0003-2874-6675
Sim, Jae Ang

Na, Young Gon

Seon, Jong‐ Keun

Shin, Hyun Dae
Funding

Funding for this research was provided by:

Ministry of Education (NRF-2019R1C1C100396712)

Ministry of Education (NRF‐2019R1C1C100396712)
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Text and Data Mining valid from 2021-01-15

Version of Record valid from 2021-01-15
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Article History

Received: 16 September 2020

Accepted: 10 December 2020

First Online: 15 January 2021

Compliance with ethical standards

:

: All the authors have no affiliation with or involvement in any organisation or entity with any financial interest, or non-financial interest in the subject matter or materials discussed in this manuscript.

: This retrospective study was approved by our institutional review board and the procedures used in this study adheres to the tenets of the Declaration of Helsinki.

: Informed patient consent was waived by the institutional review board.