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Explainable artificial intelligence models for accurate physical activity prediction using wearable device data.

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Title: Explainable artificial intelligence models for accurate physical activity prediction using wearable device data.
Authors: Lim B; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA. Electronic address: bg.lim@ag.tamu.edu., Park SJ; Department of Artificial Intelligence, Korea University, South Korea; KAIST, South Korea., Bae JH; Department of Sports Rehabilitation Medicine, Catholic Kwandong University, South Korea., de Mello GT; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA., Rethorst CD; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA; Department of Nutrition, College of Agrculture and Life Science, Texas A&M University, USA.
Source: Journal of science and medicine in sport [J Sci Med Sport] 2026 Apr 10. Date of Electronic Publication: 2026 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Australia Country of Publication: Australia NLM ID: 9812598 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-1861 (Electronic) Linking ISSN: 18781861 NLM ISO Abbreviation: J Sci Med Sport Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Lim+B%22">Lim B</searchLink>; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA. Electronic address: bg.lim@ag.tamu.edu.<br /><searchLink fieldCode="AU" term="%22Park+SJ%22">Park SJ</searchLink>; Department of Artificial Intelligence, Korea University, South Korea; KAIST, South Korea.<br /><searchLink fieldCode="AU" term="%22Bae+JH%22">Bae JH</searchLink>; Department of Sports Rehabilitation Medicine, Catholic Kwandong University, South Korea.<br /><searchLink fieldCode="AU" term="%22de+Mello+GT%22">de Mello GT</searchLink>; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA.<br /><searchLink fieldCode="AU" term="%22Rethorst+CD%22">Rethorst CD</searchLink>; Institute for Advancing Health Through Agriculture, Texas A&M Agrilife Research, USA; Department of Nutrition, College of Agrculture and Life Science, Texas A&M University, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Australia%22">Elsevier Australia </searchLink><i>Country of Publication: </i>Australia <i>NLM ID: </i>9812598 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-1861 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218781861%22">18781861 </searchLink><i>NLM ISO Abbreviation: </i>J Sci Med Sport <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jsams.2026.03.022
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      – Code: eng
        Text: English
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      – TitleFull: Explainable artificial intelligence models for accurate physical activity prediction using wearable device data.
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              Text: 2026 Apr 10
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              Y: 2026
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