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Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version)

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Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 10259))

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Abstract

In this paper we show how we used multiple large knowledge sources to construct a much smaller knowledge graph that is focussed on single disease (in our case major depression disorder). Such a disease-centric knowledge-graph makes it more convenient for doctors (in our case psychiatric doctors) to explore the relationship among various knowledge resources and to answer realistic clinical queries.

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References

  1. Ait-Mokhtar, S., Bruijn, B.D., Hagege, C., Rupi, P.: Intermediary-stage ie components, D3.5, Technical report, EURECA Project (2014)

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  2. Cyganiak, R., Wood, D., Lanthaler, M.: RDF 1.1 concepts and abstract syntax (2014)

    Google Scholar 

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Acknowledgments

This work is partially supported by the Dutch national project COMMIT, the international cooperation project No. 61420106005 funded by National Natural Science Foundation of China, and the NWO-funded Project Re-Search. The fourth author is funded by the China Scholarship Council.

Author information

Authors and Affiliations

  1. VU University Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang, Frank van Harmelen & Qing Hu

  2. Beijing Anding Hospital, Beijing, China

    Jie Yang

  3. College of Computer Science and Technology, Wuhan Univesity of Science and Technology, Wuhan, China

    Qing Hu

Authors
  1. Zhisheng Huang

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  2. Jie Yang

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  3. Frank van Harmelen

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  4. Qing Hu

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Corresponding author

Correspondence toZhisheng Huang.

Editor information

Editors and Affiliations

  1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Annette ten Teije

  2. Medical University of Vienna, Vienna, Austria

    Christian Popow

  3. University of Pennsylvania, Philadelphia, Pennsylvania, USA

    John H. Holmes

  4. University of Pavia, Pavia, Italy

    Lucia Sacchi

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© 2017 Springer International Publishing AG

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Huang, Z., Yang, J., van Harmelen, F., Hu, Q. (2017). Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version). In: ten Teije, A., Popow, C., Holmes, J., Sacchi, L. (eds) Artificial Intelligence in Medicine. AIME 2017. Lecture Notes in Computer Science(), vol 10259. Springer, Cham. https://doi.org/10.1007/978-3-319-59758-4_5

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Price includes VAT (Japan)
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Purchases are for personal use only


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