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Artificial Intelligence and Machine Learning—Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research.

Authors :
Farrahi, Vahid
Clare, Philip
Source :
Journal of Physical Activity & Health; Apr2024, Vol. 21 Issue 4, p320-322, 3p
Publication Year :
2024

Abstract

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]

Details

Language :
English
ISSN :
15433080
Volume :
21
Issue :
4
Database :
Complementary Index
Journal :
Journal of Physical Activity & Health
Publication Type :
Academic Journal
Accession number :
177462044
Full Text :
https://doi.org/10.1123/jpah.2024-0021