AIMC Topic: Athletes
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Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Attainment of optimal bone mineral density (BMD) in female athletes is a very important aspect of ensuring their well-being throughout their lives, and monitoring of BMD is essential to avoid fractures and bone-related injuries. Several tools for ass...
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting.
The American journal of sports medicine
Jul 1, 2024
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, me...
Research on prediction and evaluation algorithm of sports athletes performance based on neural network.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significan...
Data scientists are predicting sports injuries with an algorithm.
Nature
Apr 1, 2021
Computational Intelligence Techniques for Assessing Anthropometric Indices Changes in Female Athletes.
Current medical imaging
Jan 1, 2020
BACKGROUND: Physical characteristics including body size and configuration, are considered as one of the key influences on the optimum performance in athletes. Despite several analyzing methods for modeling the slimming estimation in terms of reducti...
Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.
International journal of sports physiology and performance
Sep 1, 2019
PURPOSE: The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluates the external load (EL) and internal load (IL) for different time frames in combination with prese...
A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms.
Medicine and science in sports and exercise
May 1, 2018
INTRODUCTION: The application of contemporary statistical approaches coming from Machine Learning and Data Mining environments to build more robust predictive models to identify athletes at high risk for injury might support injury prevention strateg...
Predictive Modeling of Hamstring Strain Injuries in Elite Australian Footballers.
Medicine and science in sports and exercise
May 1, 2018
PURPOSE: Three of the most commonly identified hamstring strain injury (HSI) risk factors are age, previous HSI, and low levels of eccentric hamstring strength. However, no study has investigated the ability of these risk factors to predict the incid...
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