Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Published Erratum
. 2023 Nov 2;18(11):e0294081.
doi: 10.1371/journal.pone.0294081. eCollection 2023.

Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

Austin Chou, Abel Torres-Espin, Nikos Kyritsis, J Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Shah, Chandler McCann, Lisa U Pascual, Edilberto Amorim, Philip R Weinstein, Geoffrey T Manley, Sanjay S Dhall, Jonathan Z Pan, Jacqueline C Bresnahan, Michael S Beattie, William D Whetstone, Adam R Ferguson; TRACK-SCI Investigators
Published Erratum

Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

Austin Chou et al. PLoS One. .

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0265254.].

PubMed Disclaimer

Erratum for

References

    1. Chou A, Torres-Espin A, Kyritsis N, Huie JR, Khatry S, Funk J, et al.. (2022) Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome. PloS ONE, 17(4): e0265254. 10.1371/journal.pone.0265254 - DOI - PMC - PubMed

Publication types