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Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes.

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Title: Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes.
Authors: Pai R; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Barua S; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.; Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York City, NY, USA., Kim BS; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., McDonald M; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Wierzchowska-McNew RA; Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA., Pai A; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Deutz NEP; Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA., Kerr D; Center for Health Systems Research, Sutter Health, Santa Barbara, CA, USA., Sabharwal A; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Source: Journal of diabetes science and technology [J Diabetes Sci Technol] 2026 Mar; Vol. 20 (2), pp. 365-373. Date of Electronic Publication: 2024 Sep 23.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 101306166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2968 (Electronic) Linking ISSN: 19322968 NLM ISO Abbreviation: J Diabetes Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Pai+R%22">Pai R</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Barua+S%22">Barua S</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.; Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Kim+BS%22">Kim BS</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22McDonald+M%22">McDonald M</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Wierzchowska-McNew+RA%22">Wierzchowska-McNew RA</searchLink>; Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA.<br /><searchLink fieldCode="AU" term="%22Pai+A%22">Pai A</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Deutz+NEP%22">Deutz NEP</searchLink>; Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA.<br /><searchLink fieldCode="AU" term="%22Kerr+D%22">Kerr D</searchLink>; Center for Health Systems Research, Sutter Health, Santa Barbara, CA, USA.<br /><searchLink fieldCode="AU" term="%22Sabharwal+A%22">Sabharwal A</searchLink>; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
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  Data: <searchLink fieldCode="JN" term="%22101306166%22">Journal of diabetes science and technology</searchLink> [J Diabetes Sci Technol] 2026 Mar; Vol. 20 (2), pp. 365-373. <i>Date of Electronic Publication: </i>2024 Sep 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage%22">Sage </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101306166 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-2968 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219322968%22">19322968 </searchLink><i>NLM ISO Abbreviation: </i>J Diabetes Sci Technol <i>Subsets: </i>MEDLINE
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        Value: 10.1177/19322968241274800
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      – Code: eng
        Text: English
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        StartPage: 365
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      – TitleFull: Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes.
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              Text: 2026 Mar
              Type: published
              Y: 2026
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