Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk?

No safe or risky cutting technique strategies could be discerned among female elite handball and football players. Cluster analysis of cutting technique, using a K-means algorithm, did not prove to be a valuable approach for assessing ACL injury risk in this dataset.

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Publication Details

Journal
Frontiers in Sports and Active Living
Published
2025-02-10
DOI
https://doi.org/10.3389/fspor.2025.1463272
Citations
1
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
2.01
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article

Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk?

Lasse Mausehund, Tron Krosshaug, A. S. Patron, Sami Äyrämö
1 citations
Frontiers in Sports and Active Living
Knee injuries and reconstruction techniques
2.01
article

Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk?

Lasse Mausehund, Tron Krosshaug, A. S. Patron, Sami Äyrämö
article en
1 citations

Abstract

No safe or risky cutting technique strategies could be discerned among female elite handball and football players. Cluster analysis of cutting technique, using a K-means algorithm, did not prove to be a valuable approach for assessing ACL injury risk in this dataset.

Frontiers in Sports and Active LivingVol. 7
University of Helsinki (FI), Oslo Sports Trauma Research Center (NO), Central Finland Health Care District (FI), Norwegian School of Sport Sciences (NO), University of Jyväskylä (FI)
Gender equality
Openalex Percentile: Top 19%
Knee injuries and reconstruction techniques
2.01
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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? — Lasse Mausehund, Tron Krosshaug, et al. · Frontiers in Sports and Active Living (2025) | TGRS Research Map | TGRS