Skip to main content

CORRECTION article

Front. Pain Res., 27 November 2023
Sec. Musculoskeletal Pain
Volume 4 - 2023 | https://doi.org/10.3389/fpain.2023.1327997

Corrigendum: Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment

This article is a correction to:

  1. Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment

    1. Read original article
\r\nFredrick Zmudzki,Fredrick Zmudzki1,2Rob J. E. M. Smeets,, \r\nRob J. E. M. Smeets3,4,5*
  • 1Époque Consulting, Sydney, NSW, Australia
  • 2Social Policy Research Centre, University of New South Wales, Sydney, NSW, Australia
  • 3Department of Rehabilitation Medicine, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Life Sciences and Medicine, Maastricht University, Maastricht, Netherlands
  • 4CIR Rehabilitation, Eindhoven, Netherlands
  • 5Pain in Motion International Research Group (PiM), Brussels, Belgium

A Corrigendum on

Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment

By Zmudzki F and Smeets RJEM (2023) Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment. Front. Pain Res. 4:1177070. doi: 10.3389/fpain.2023.1177070

In the published article, there was a mistake in the corresponding author email address for author Rob J. E. M. Smeets. The email was incorrectly displayed as “r.smeets@maastrtichtuniversity.nl” The correct email address is: “r.smeets@maastrichtuniversity.nl”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: chronic pain, musculoskeletal pain, machine learning, interdisciplinary care, clinical decision support, prognosis, outcome

Citation: Zmudzki F and Smeets RJEM (2023) Corrigendum: Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment. Front. Pain Res. 4:1327997. doi: 10.3389/fpain.2023.1327997

Received: 25 October 2023; Accepted: 16 November 2023;
Published: 27 November 2023.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

© 2023 Zmudzki and Smeets. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rob J. E. M. Smeets r.smeets@maastrichtuniversity.nl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.