Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence.

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Title: Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence.
Authors: Görmez Y; Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas, Türkiye., Yagin FH; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, Malatya, Türkiye., Yagin B; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye., Aygun Y; Department of Sport Management, Faculty of Sport Sciences, Inonu University, Malatya, Türkiye., Boke H; Yasar Oncan Secondary School, Ministry of National Education, Malatya, Türkiye., Badicu G; Department of Physical Education and Special Motricity, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, Braşov, Romania., De Sousa Fernandes MS; Keizo Asami Institute, Federal University of Pernambuco (UFPE), Recife, Brazil., Alkhateeb A; Department of Computer Science, Lakehead University, Thunder Bay, Canada., Al-Rawi MBA; Department of Optometry, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Aghaei M; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Alesund, Norway.; Department of Sustainable Systems Engineering (INATECH), Albert Ludwigs University of Freiburg, Freiburg, Germany.
Source: Frontiers in physiology [Front Physiol] 2025 Jul 16; Vol. 16, pp. 1549306. Date of Electronic Publication: 2025 Jul 16 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence.
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  Data: <searchLink fieldCode="AU" term="%22Görmez+Y%22">Görmez Y</searchLink>; Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas, Türkiye.<br /><searchLink fieldCode="AU" term="%22Yagin+FH%22">Yagin FH</searchLink>; Department of Biostatistics, Faculty of Medicine, Malatya Turgut Ozal University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Yagin+B%22">Yagin B</searchLink>; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Aygun+Y%22">Aygun Y</searchLink>; Department of Sport Management, Faculty of Sport Sciences, Inonu University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Boke+H%22">Boke H</searchLink>; Yasar Oncan Secondary School, Ministry of National Education, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Badicu+G%22">Badicu G</searchLink>; Department of Physical Education and Special Motricity, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, Braşov, Romania.<br /><searchLink fieldCode="AU" term="%22De+Sousa+Fernandes+MS%22">De Sousa Fernandes MS</searchLink>; Keizo Asami Institute, Federal University of Pernambuco (UFPE), Recife, Brazil.<br /><searchLink fieldCode="AU" term="%22Alkhateeb+A%22">Alkhateeb A</searchLink>; Department of Computer Science, Lakehead University, Thunder Bay, Canada.<br /><searchLink fieldCode="AU" term="%22Al-Rawi+MBA%22">Al-Rawi MBA</searchLink>; Department of Optometry, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Aghaei+M%22">Aghaei M</searchLink>; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Alesund, Norway.; Department of Sustainable Systems Engineering (INATECH), Albert Ludwigs University of Freiburg, Freiburg, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101549006%22">Frontiers in physiology</searchLink> [Front Physiol] 2025 Jul 16; Vol. 16, pp. 1549306. <i>Date of Electronic Publication: </i>2025 Jul 16 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101549006 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-042X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664042X%22">1664042X </searchLink><i>NLM ISO Abbreviation: </i>Front Physiol <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Jul 16
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