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CORRECTION article

Front. Physiol.
Sec. Computational Physiology and Medicine
Volume 15 - 2024 | doi: 10.3389/fphys.2024.1441107

Corrigendum: A novel approach for sports injury risk prediction: based on time-series image encoding and deep learning

Provisionally accepted
Xiaohong Ye Xiaohong Ye 1Yuanqi Huang Yuanqi Huang 2*Zhanshuang Bai Zhanshuang Bai 2,3Yukun Wang Yukun Wang 4
  • 1 Chengyi University College, Jimei University, Xiamen, Fujian Province, China
  • 2 Fujian Normal University, Fuzhou, China
  • 3 Hezhou University, Hezhou, China
  • 4 Institute for Sport Business, Loughborough University London, London, United Kingdom

This article is a correction to:

  1. A novel approach for sports injury risk prediction: based on time-series image encoding and deep learning

    1. Read original article

The final, formatted version of the article will be published soon.

    Keywords: injury prevention, deep learning, time series, injury risk pattern, Injury risk prediction

    Received: 30 May 2024; Accepted: 05 Jul 2024.

    Copyright: © 2024 Ye, Huang, Bai and Wang. 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) or licensor 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: Yuanqi Huang, Fujian Normal University, Fuzhou, China

    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.