التفاصيل البيبلوغرافية
| العنوان: |
Artificial Intelligence and Machine Learning—Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research. |
| المؤلفون: |
Farrahi, Vahid, Clare, Philip |
| المصدر: |
Journal of Physical Activity & Health; Apr2024, Vol. 21 Issue 4, p320-322, 3p |
| مصطلحات موضوعية: |
SEDENTARY behavior, MACHINE learning, ARTIFICIAL intelligence, BEHAVIORAL research, ARTIFICIAL neural networks, PROGRESSIVE supranuclear palsy |
| مستخلص: |
The article discusses the potential benefits of using artificial intelligence (AI) and machine learning (ML) tools and algorithms in physical activity and sedentary behavior research. While AI and ML have been widely utilized in healthcare and medicine, their application in studying physical activity and sedentary behavior is still underutilized. The article highlights the capabilities of AI and ML in generating novel hypotheses, improving measurement of behaviors, predicting health indicators, and advancing precision medicine. However, there are challenges in implementing these techniques, including ethical concerns and limitations in identifying cause-effect relationships. Overall, integrating AI and ML tools can contribute to a deeper understanding of physical activity and sedentary behavior. [Extracted from the article] |
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Copyright of Journal of Physical Activity & Health is the property of Human Kinetics Publishers, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
