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        <datestamp>2026-09-28T10:31:12Z</datestamp>
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          <dc:title>&lt;b&gt;The biochemical indicators and complete blood count of patients with type 2 diabetes mellitus or diabetic kidney disease&lt;/b&gt;</dc:title>
          <dc:creator>Yan Yan (25071478)</dc:creator>
          <dc:subject>Health promotion</dc:subject>
          <dc:subject>Preventative health care</dc:subject>
          <dc:subject>Injury prevention</dc:subject>
          <dc:subject>Nephrology and urology</dc:subject>
          <dc:subject>Diabetic kidney disease</dc:subject>
          <dc:subject>Type 2 diabetes mellitus</dc:subject>
          <dc:subject>Machine learning</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;In the dataset, a total of 42 clinical variables from 571 patients diagnosed &lt;/b&gt;&lt;b&gt;with type 2 diabetes mellitus or diabetic kidney disease&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;are showed. These data are used to construct a model for identifying diabetic kidney disease at early stage in the patients with type 2 diabetes mellitus&lt;/b&gt;&lt;b&gt;. &lt;/b&gt;&lt;b&gt;Thereby, it is possible to provide early intervention for these patients, and prevent further progression into serious stages. This will greatly reduce the economic burden of patients and help to better manage the cohort of diabetic kidney disease.&lt;/b&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T10:31:12Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.34012965.v1</dc:identifier>
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