Machine learning in knee injury sequelae detection: Unravelling the role of psychological factors and preventing long‐term sequelae

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Publication Details

Journal
Journal of Experimental Orthopaedics
Published
2024-10-01
DOI
https://doi.org/10.1002/jeo2.70081
Citations
3
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
1.72

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article

Machine learning in knee injury sequelae detection: Unravelling the role of psychological factors and preventing long‐term sequelae

Julien Frère, Thierry Weissland, Clément Lipps Léné
3 citations
Journal of Experimental Orthopaedics
Knee injuries and reconstruction techniques
1.72
article

Machine learning in knee injury sequelae detection: Unravelling the role of psychological factors and preventing long‐term sequelae

Julien Frère, Thierry Weissland, Clément Lipps Léné
article en
3 citations

Abstract

No abstract available for this paper.
Journal of Experimental OrthopaedicsVol. 11(4)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), GIPSA-Lab (FR), Laboratoire de l'Intégration du Matériau au Système (FR), Institut Polytechnique de Bordeaux (FR), Université Grenoble Alpes (FR)
Aix-Marseille Université, Centre National de la Recherche Scientifique
Good health and well-being
Openalex Percentile: Top 14%
Knee injuries and reconstruction techniques
1.72
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Machine learning in knee injury sequelae detection: Unravelling the role of psychological factors and preventing long‐term sequelae — Julien Frère, Thierry Weissland, et al. · Journal of Experimental Orthopaedics (2024) | TGRS Research Map | TGRS