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    <responseDate>2026-10-12T05:49:08Z</responseDate>
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    <identifier>10.57760/sciencedb.34323</identifier>
    <datestamp>2026-04-24T18:26:33Z</datestamp>
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  <dc:date>2026-04-24</dc:date>
  <dc:title>Endometrial Carcinoma: Preoperative Nomogram for Risk Stratification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.34323</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The data supporting this article were derived from a de-identified clinical dataset retrospectively collected from the medical records of Yangming Hospital Affiliated to Ningbo University (2016&amp;ndash;2025), consisting of clinical, imaging, and pathological data. The complete data repository is organized into three components:&amp;nbsp;1) An Excel workbook collection (.xlsx) comprising&amp;nbsp;Raw_Data.xlsx&amp;nbsp;and&amp;nbsp;Excluded_Data.xlsx; 2)An R (4.3.3) script collection including&amp;nbsp;Kappa_1.R,&amp;nbsp;Kappa_2.R, Kappa_3.R, LASSO.R, and Model.R, along with their corresponding input CSV files; 3) A figure collection that includes&amp;nbsp;Graphical_abstract.tif,&amp;nbsp;Figure_1.tif,&amp;nbsp;Figure_2.tif,&amp;nbsp;Figure_3.tif, and&amp;nbsp;Supplementary_Figure_1.tif.</dc:description>
  <dc:subject>Endometrial carcinoma; Endometrial biopsy; MRI; Nomogram; Risk stratification</dc:subject>
  <dc:creator>范佳文</dc:creator>
  <dc:creator>杜益维</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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