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                <identifier>oai:data.mendeley.com/yf9kpds2ny.1</identifier>
                <datestamp>2025-09-25T15:55:59Z</datestamp>
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    <dc:creator>Ahmed , Benzir</dc:creator>
    <dc:title>After-meal blood glucose level prediction data for type-2 prediabetic and diabetic patients</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset includes data from five prediabetic and diabetic patients. Among them, four are diabetic, and one is pre-diabetic patients. There are 902 samples. For each data sample, there are 23 tabular features: six profile features, nine medication features, six meal features, one exercise feature (duration), one BG reading before taking a meal, and one target variable: the BG reading taken two hours after meal. It contains the meal image names, if the corresponding images are available for different investigation.</dc:description>
    <dc:subject>Diabetes</dc:subject>
    <dc:subject>Forecasting Model</dc:subject>
    <dc:subject>Blood Glucose Monitoring</dc:subject>
    <dc:subject>Data Driven Approach</dc:subject>
    <dc:contributor>Huq, A. K. Obidul</dc:contributor>
    <dc:contributor>Ali, Mohammed Eunus</dc:contributor>
    <dc:contributor>Masud, Mohammad</dc:contributor>
    <dc:contributor>Naznin, Mahmuda</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/yf9kpds2ny.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/yf9kpds2ny.1</dc:identifier>
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    <dc:date>2025-09-25T15:55:59Z</dc:date>
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