2024
DOI: 10.3233/thc-231789
|View full text |Cite
|
Sign up to set email alerts
|

An investigation of an athlete injury likelihood monitoring system using the random forest algorithm and DWT

Jiahao Li

Abstract: BACKGROUND: The main goal of sports science is to monitor sports injuries. Nevertheless, the existing sports injury monitoring projects have many expensive instruments and excessively extended monitoring periods, which makes it difficult to expand sports injury monitoring on a large scale. OBJECTIVE: The advancement of machine learning algorithms opens up new avenues for the tracking of sports injuries. METHODS: A training set of sports injuries was created using the Discrete Wavelet Transform (DWT) and Random… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 24 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?