SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Ye X, Huang Y, Bai Z, Wang Y. Front. Physiol. 2024; 15: e1441107.

Copyright

(Copyright © 2024, Frontiers Research Foundation)

DOI

10.3389/fphys.2024.1441107

PMID

39105083

PMCID

PMC11298417

Abstract

[This corrects the article DOI: 10.3389/fphys.2023.1174525.].

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

by Ye X, Huang Y, Bai Z and Wang Y (2023). Front. Physiol. 14:1174525. doi: 10.3389/fphys.2023.1174525

In the published article, there was an error in Materials and methods, Data processing, paragraph five. A correction has been made to the penultimate sentence, which previously stated: "The sampling ratio is set according to the sample imbalance rate."

The corrected sentence appears below:

"The sampling ratio is set according to the sample balance rate."

In the published article, there was an error in Materials and methods, Model architecture. A correction has been made to the fourth sentence of paragraph two and the ninth sentence of paragraph four. These sentences previously stated: "The initial learning rate of the adadelta optimizer was set to 0.01."

The corrected sentence appears below:

"The initial learning rate of the adadelta optimizer was set to 1.0 with a decay rate of 0.95."

In the published article, there was an error in Materials and methods, Model architecture, paragraph five. A correction has been made to the penultimate sentence, which previously stated: "This study set α to 0.55 and γ to 5."

The corrected sentence appears below:

"This study's tuning process for α and γ was based on empirical. The α for the optimal model was approximately 0.986 (i.e., 1 minus the ratio of minority samples to the total sample), while γ was set to 3.5."

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


Language: en

Keywords

injury prevention; deep learning; injury risk pattern; injury risk prediction; time series

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print