AIMC Topic: Return to Sport

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Finding the needle in the haystack of isokinetic knee data: Random Forest modelling improves information about ACLR-related deficiencies.

Journal of sports sciences Dec 22, 2024
The difficulties of rehabilitation after anterior cruciate ligament (ACL) injuries, subsequent return-to-sport (RTS) let alone achieving pre-injury performance, are well known. Isokinetic testing is often used to assess strength capacities during tha...
Humans Machine Learning Female Young Adult Adult Biomechanical Phenomena Male Muscle Strength Random Forest Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Knee Hamstring Muscles Return to Sport
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Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

JAMA network open Feb 1, 2021
IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Humans Machine Learning Prospective Studies Brain Female Reproducibility of Results Young Adult Male Case-Control Studies Adolescent Universities Electroencephalography Schools Athletes Brain Concussion Athletic Injuries Mental Status and Dementia Tests Glasgow Coma Scale Return to Sport
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Machine Learning in Modeling High School Sport Concussion Symptom Resolve.

Medicine and science in sports and exercise Jul 1, 2019
INTRODUCTION: Concussion prevalence in sport is well recognized, so too is the challenge of clinical and return-to-play management for an injury with an inherent indeterminant time course of resolve. A clear, valid insight into the anticipated resolu...
Humans Machine Learning Clinical Decision-Making Adolescent Time Factors Headache Attention Football Brain Concussion Dizziness Athletic Injuries Return to Sport
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