Artificial intelligence and body composition
Aims Although obesity is associated with chronic disease, a large section of the population
with high BMI does not have an increased risk of metabolic disease. Increased visceral …
with high BMI does not have an increased risk of metabolic disease. Increased visceral …
A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer
In the last decade, the number of studies about machine learning algorithms applied to
sports, eg, injury forecasting and athlete performance prediction, have rapidly increased …
sports, eg, injury forecasting and athlete performance prediction, have rapidly increased …
Machine learning application in soccer: a systematic review
M Rico-González, J Pino-Ortega, A Méndez… - Biology of sport, 2023 - termedia.pl
Due to the chaotic nature of soccer, the predictive statistical models have become in a
current challenge to decision-making based on scientific evidence. The aim of the present …
current challenge to decision-making based on scientific evidence. The aim of the present …
Body composition interactions with physical fitness: A cross-sectional study in youth soccer players
This study aimed to:(i) analyze fat mass and physical fitness variations among age-groups
and playing positions, and (ii) explore the relationship between fat mass and physical fitness …
and playing positions, and (ii) explore the relationship between fat mass and physical fitness …
[HTML][HTML] Explainable artificial intelligence for fitness prediction of young athletes living in unfavorable environmental conditions
K Sandamal, S Arachchi, VO Erkudov… - Results in …, 2024 - Elsevier
This study is the first attempt to use explainable machine learning (ML) to investigate the
factors influencing physical development and the athlete's performance in the …
factors influencing physical development and the athlete's performance in the …
A review of machine learning applications in soccer with an emphasis on injury risk
This narrative review paper aimed to discuss the literature on machine learning applications
in soccer with an emphasis on injury risk assessment. A secondary aim was to provide …
in soccer with an emphasis on injury risk assessment. A secondary aim was to provide …
Physical fitness and upper limb asymmetry in young padel players: differences between genders and categories
F Pradas, V Toro-Román, MÁ Ortega-Zayas… - International Journal of …, 2022 - mdpi.com
This study aimed to assess the physical fitness and upper body asymmetries of young padel
players aged between 13 and 16 years and to determine the possible differences between …
players aged between 13 and 16 years and to determine the possible differences between …
Bioimpedance vector references need to be period-specific for assessing body composition and cellular health in elite soccer players: A brief report
T Bongiovanni, G Mascherini, F Genovesi… - Journal of functional …, 2020 - mdpi.com
Purpose: Bioimpedance data through bioimpedance vector analysis (BIVA) is used to
evaluate cellular function and body fluid content. This study aimed to (i) identify whether …
evaluate cellular function and body fluid content. This study aimed to (i) identify whether …
Association between change in regional phase angle and jump performance: A pilot study in serie a soccer players
Purpose: This observational longitudinal investigation aimed to investigate whether change
in bioelectrical regional phase angle (PhA) is a predictor of change in vertical jump …
in bioelectrical regional phase angle (PhA) is a predictor of change in vertical jump …
Importance of fundamental movement skills to predict technical skills in youth grassroots soccer: A machine learning approach
This study determined the contributors to soccer technical skills in grassroots youth soccer
players using a machine learning approach. One hundred and sixty-two boys aged 7 to 14 …
players using a machine learning approach. One hundred and sixty-two boys aged 7 to 14 …