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. 2022 Dec 8;22:946. doi: 10.1186/s12877-022-03514-5

Correction: Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study

Emi Anzai 1, Dian Ren 2, Leo Cazenille 3, Nathanael Aubert-Kato 3,4, Julien Tripette 4,5,, Yuji Ohta 5,6
PMCID: PMC9733222  PMID: 36482323

Correction To: BMC Geriatrics (2022) 22:746

10.1186/s12877-022-03425-5

After publication of this article [1], the authors reported that affiliation 4 was incorrectly given as ‘Comprehensive Research Building, 6th floor, room 613, Bunkyo, Tokyo 112-8610, Japan’, but should have been ‘Center for Interdisciplinary AI and Data Science, Ochanomizu University, Tokyo, Japan’.

The original article [1] has been corrected.

Footnotes

The online version of the original article can be found at 10.1186/s12877-022-03425-5.

Publisher’s note

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References

  • 1.Anzai E, Ren D, Cazenille L, et al. Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study. BMC Geriatr. 2022; 22:746. 10.1186/s12877-022-03425-5. [DOI] [PMC free article] [PubMed]

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