AIMC Topic: Physical Fitness
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model.
Frontiers in public health
Apr 4, 2025
INTRODUCTION: This study investigates the potential of a deep learning-based Life Log Sharing Model (LLSM) to enhance adolescent physical fitness and exercise behaviors through personalized public health interventions.
The impact of preschool children's physical fitness evaluation under self organizing maps neural network.
Scientific reports
Jan 9, 2025
To improve the scientific accuracy and precision of children's physical fitness evaluations, this study proposes a model that combines self-organizing maps (SOM) neural networks with cluster analysis. Existing evaluation methods often rely on traditi...
Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010-2023).
Scientific reports
Jun 24, 2024
Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationshi...
Method for Incomplete and Imbalanced Data Based on Multivariate Imputation by Chained Equations and Ensemble Learning.
IEEE journal of biomedical and health informatics
May 6, 2024
The classification analysis of incomplete and imbalanced data is still a challenging task since these issues could negatively impact the training of classifiers, which were also found in our study on the physical fitness assessments of patients. And ...
Predicting Soccer Players' Fitness Status Through a Machine-Learning Approach.
International journal of sports physiology and performance
Feb 24, 2024
PURPOSE: The study had 3 purposes: (1) to develop an index using machine-learning techniques to predict the fitness status of soccer players, (2) to explore the index's validity and its relationship with a submaximal run test (SMFT), and (3) to analy...
Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis.
Health education & behavior : the official publication of the Society for Public Health Education
Dec 6, 2023
In the field of artificial intelligence-based fitness apps, the effective integration of behavior change techniques (BCTs) is critical for promoting physical activity and improving health outcomes. However, the specific BCTs employed by apps and thei...
Deep fit_predic: a novel integrated pyramid dilation EfficientNet-B3 scheme for fitness prediction system.
Computer methods in biomechanics and biomedical engineering
Oct 22, 2023
This study introduces novel deep learning (DL) techniques for effective fitness prediction using a person's health data. Initially, pre-processing is performed in which data cleaning, one-hot encoding and data normalization are performed. The pre-pro...
Deep-learning model for predicting physical fitness in possible sarcopenia: analysis of the Korean physical fitness award from 2010 to 2023.
Frontiers in public health
Aug 8, 2023
INTRODUCTION: Physical fitness is regarded as a significant indicator of sarcopenia. This study aimed to develop and evaluate a deep-learning model for predicting the decline in physical fitness due to sarcopenia in individuals with potential sarcope...
Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.
International journal of environmental research and public health
May 31, 2023
This comprehensive review examines critical aspects of evidence-based human kinetics, focusing on bridging the gap between scientific evidence and practical implementation. To bridge this gap, the development of tailored education and training progra...
Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning.
International journal of environmental research and public health
Dec 22, 2022
The academic curriculum has shown to promote sedentary behavior in college students. This study aimed to profile the physical fitness of physical education majors using unsupervised machine learning and to identify the differences between sexes, acad...
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