Overtraining syndrome as a complex systems phenomenon

LE Armstrong, MF Bergeron, EC Lee… - Frontiers in network …, 2022 - frontiersin.org
The phenomenon of reduced athletic performance following sustained, intense training
(Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although …

[HTML][HTML] Systematic review of research on artificial intelligence in K-12 education (2017–2022)

F Martin, M Zhuang, D Schaefer - Computers and Education: Artificial …, 2023 - Elsevier
Abstract Background The use of Artificial Intelligence (AI) has increased in all education
sectors including K-12 settings where students can learn about AI and have an augmented …

[图书][B] Artificial intelligence in sport performance analysis

D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

Predictive Accuracy of the Sport Concussion Assessment Tool 3 and Vestibular/Ocular-Motor Screening, Individually and In Combination: A National Collegiate …

LM Ferris, AP Kontos, SR Eagle… - … American Journal of …, 2021 - journals.sagepub.com
Background: Vestibular and ocular symptoms in sport-related concussions are common. The
Vestibular/Ocular-Motor Screening (VOMS) tool is a rapid, free, pen-and-paper tool that …

[HTML][HTML] Predicting injury risk using machine learning in male youth soccer players

FJ Robles-Palazón, JM Puerta-Callejón… - Chaos, Solitons & …, 2023 - Elsevier
The aim of this study was twofold: a) to build models using machine learning techniques on
data from an extensive screening battery to prospectively predict lower extremity soft tissue …

Utility of MemTrax and machine learning modeling in classification of mild cognitive impairment

MF Bergeron, S Landset, X Zhou… - Journal of …, 2020 - content.iospress.com
Background: The widespread incidence and prevalence of Alzheimer's disease and mild
cognitive impairment (MCI) has prompted an urgent call for research to validate early …

Greater acute concussion symptoms are associated with longer recovery times in adolescents

NE Cook, CE Gaudet, B Maxwell… - Journal of child …, 2022 - journals.sagepub.com
We examined the association between the severity of acute concussion symptoms and time
to return to school and to sports in adolescent student athletes. We hypothesized that there …

Machine learning for subtyping concussion using a clustering approach

CK Rosenblatt, A Harriss, AN Babul… - Frontiers in human …, 2021 - frontiersin.org
Background: Concussion subtypes are typically organized into commonly affected symptom
areas or a combination of affected systems, an approach that may be flawed by bias in …

A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

E Mawdsley, B Reynolds… - Journal of …, 2021 - Wiley Online Library
Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained
after birth) are challenged to develop suitable care pathways for an individual client's needs …

Application of Artificial Intelligence in the Headache Field

K Ihara, G Dumkrieger, P Zhang, T Takizawa… - Current Pain and …, 2024 - Springer
Abstract Purpose of Review Headache disorders are highly prevalent worldwide. Rapidly
advancing capabilities in artificial intelligence (AI) have expanded headache-related …