Cross-validation of a machine learning algorithm that determines anterior cruciate ligament rehabilitation status and evaluation of its ability to predict future injury (Unknown)
- New search for: Richter, Chris
- New search for: Petushek, Erich
- New search for: Grindem, Hege
- New search for: Franklyn-Miller, Andrew
- New search for: Bahr, Roald
- New search for: Krosshaug, Tron
- New search for: Richter, Chris
- New search for: Petushek, Erich
- New search for: Grindem, Hege
- New search for: Franklyn-Miller, Andrew
- New search for: Bahr, Roald
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In:
Sports Biomechanics
;
22
, 1
;
91-101
;
2023
- Article (Journal) / Electronic Resource
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Title:Cross-validation of a machine learning algorithm that determines anterior cruciate ligament rehabilitation status and evaluation of its ability to predict future injury
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Contributors:Richter, Chris ( author ) / Petushek, Erich ( author ) / Grindem, Hege ( author ) / Franklyn-Miller, Andrew ( author ) / Bahr, Roald ( author ) / Krosshaug, Tron ( author )
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Published in:Sports Biomechanics ; 22, 1 ; 91-101
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Publisher:
- New search for: Routledge
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Publication date:2023-01-02
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Size:11 pages
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ISSN:
-
DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 22, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Loading mechanisms of the anterior cruciate ligamentBeaulieu, Mélanie L. / Ashton-Miller, James A. / Wojtys, Edward M. et al. | 2023
- 30
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The influence of decision making and divided attention on lower limb biomechanics associated with anterior cruciate ligament injury: a narrative reviewHughes, Gerwyn / Dai, Boyi et al. | 2023
- 46
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Trunk motion and anterior cruciate ligament injuries: a narrative review of injury videos and controlled jump-landing and cutting tasksSong, Yu / Li, Ling / Hughes, Gerwyn / Dai, Boyi et al. | 2023
- 65
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Kiss goodbye to the ‘kissing knees’: no association between frontal plane inward knee motion and risk of future non-contact ACL injury in elite female athletesNilstad, Agnethe / Petushek, Erich / Mok, Kam-Ming / Bahr, Roald / Krosshaug, Tron et al. | 2023
- 80
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The non-sagittal knee moment vector identifies ‘at risk’ individuals that the knee abduction moment alone does notRobinson, Mark A. / Sharir, Raihana / Rafeeuddin, Radin / Vanrenterghem, Jos / Donnelly, Cyril J. et al. | 2023
- 91
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Cross-validation of a machine learning algorithm that determines anterior cruciate ligament rehabilitation status and evaluation of its ability to predict future injuryRichter, Chris / Petushek, Erich / Grindem, Hege / Franklyn-Miller, Andrew / Bahr, Roald / Krosshaug, Tron et al. | 2023
- 102
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Using a modified vector coding technique to describe the calcaneus-shank coupling relationship during unanticipated changes of direction: theoretical implications for prophylactic ACL strategiesvan der Merwe, Carla / Shultz, Sarah P. / Colborne, G. Robert / Hébert-Losier, Kim / Fink, Philip W. et al. | 2023
- 123
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Vertical jump impulse deficits persist from six to nine months after ACL reconstructionCostley, Jill A. E. / Miles, Joshua J. / King, Enda / Daniels, Katherine A. J. et al. | 2023
- 142
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Side-hops challenge knee control in the frontal and transversal plane more than hops for distance or height among ACL-reconstructed individualsMarkström, Jonas L. / Tengman, Eva / Häger, Charlotte K. et al. | 2023