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Open Access

Correction

Correction: Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning

  • The PLOS One Staff

Notice of Republication

This article was republished on November 18, 2025, to correct errors in the citation. The publisher apologizes for the error. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected articles are provided here for reference.

Supporting information

S1 File. Originally published, uncorrected article.

https://doi.org/10.1371/journal.pone.0338553.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pone.0338553.s002

(PDF)

Reference

  1. 1. Kuruwita Arachchige H, Ng SK, Liew AW-C, Richards B, Haseler L, Kumar K, et al. Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning. PLoS One. 2025;20(7):e0328870. pmid:40720405

Citation: The PLOS One Staff (2025) Correction: Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning. PLoS One 20(12): e0338553. https://doi.org/10.1371/journal.pone.0338553

Published: December 9, 2025

Copyright: © 2025 The PLOS One Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.