A data mining approach for determining biomechanical adaptations in runners who experienced and recovered from patellofemoral pain syndrome.
Patellofemoral pain
biomechanics
feature ranking
machine learning
principal component analysis
running
Journal
Journal of sports sciences
ISSN: 1466-447X
Titre abrégé: J Sports Sci
Pays: England
ID NLM: 8405364
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
medline:
18
3
2024
pubmed:
2
2
2024
entrez:
2
2
2024
Statut:
ppublish
Résumé
Patellofemoral pain (PFP) is a common musculoskeletal pain disorder experienced by runners. While biomechanics of those with PFP have been extensively studied, methodological considerations may omit important adaptations exhibited by those experiencing and recovered from pain. Instead of
Identifiants
pubmed: 38303115
doi: 10.1080/02640414.2024.2308419
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM