Dataset Restricted Access

Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data

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


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  <identifier identifierType="DOI">10.25592/uhhfdm.12545</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>
      <affiliation>University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Raphael Twerenbold</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3814-6542</nameIdentifier>
      <affiliation>University Medical Center Hamburg-Eppendorf, University Heart &amp; Vascular Center Hamburg, Hamburg, Germany</affiliation>
    </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>Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data</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">2023-06-12</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/12545</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.11942</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/restrictedAccess">Restricted Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset capures statistical analysis of the HCHS cohort study using a knowledge graph and dashboard. Properties of 10,000 participants were analyzed for their association with cardiovascular 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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