Dataset Closed Access

HCHSGraphXplore: Visualizing Complex Medical Data with Knowledge Graphs

Louis Bellmann; Alexander Johannes Wiederhold; Leona Trübe; Frank Ückert; Karl Gottfried


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-3" xsi:schemaLocation="http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd">
  <identifier identifierType="DOI">10.25592/uhhfdm.11943</identifier>
  <creators>
    <creator>
      <creatorName>Louis Bellmann</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7920-1889</nameIdentifier>
      <affiliation>University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Alexander Johannes Wiederhold</creatorName>
      <affiliation>University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Leona Trübe</creatorName>
    </creator>
    <creator>
      <creatorName>Frank Ückert</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8362-5636</nameIdentifier>
      <affiliation>University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Karl Gottfried</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2100-3409</nameIdentifier>
      <affiliation>University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>HCHSGraphXplore: Visualizing Complex Medical Data with Knowledge Graphs</title>
  </titles>
  <publisher>Universität Hamburg</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>Knowledge Graphs</subject>
    <subject>Cohort Studies</subject>
    <subject>Data Visualization</subject>
    <subject>Big Data</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2023-03-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/11943</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.11942</relatedIdentifier>
  </relatedIdentifiers>
  <version>0.9.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset capures statistical analysis of the HCHS cohort study with knowledge graphs and dashboards. Properties of 10,000 participants were analyzed for their association with cardiovascular and cancer disease as well as for their relationships among each other. The data is presented in the form of Neo4J database dumps and can be explored following the given user guide.&lt;/p&gt;</description>
  </descriptions>
</resource>

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