Constructing disease-centric knowledge graphs: A case study for depression (short version)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings
PublisherSpringer/Verlag
Pages48-52
Number of pages5
Volume10259 LNAI
ISBN (Print)9783319597577
DOIs
Publication statusPublished - 2017
Event16th Conference on Artificial Intelligence in Medicine, AIME 2017 - Vienna, Austria
Duration: 21 Jun 201724 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10259 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Conference on Artificial Intelligence in Medicine, AIME 2017
CountryAustria
CityVienna
Period21/06/1724/06/17

Fingerprint

Graph in graph theory
Disorder
Query
Resources
Knowledge
Psychiatry
Relationships

Cite this

Huang, Z., Yang, J., van Harmelen, F., & Hu, Q. (2017). Constructing disease-centric knowledge graphs: A case study for depression (short version). In Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings (Vol. 10259 LNAI, pp. 48-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10259 LNAI). Springer/Verlag. https://doi.org/10.1007/978-3-319-59758-4_5
Huang, Zhisheng ; Yang, Jie ; van Harmelen, Frank ; Hu, Qing. / Constructing disease-centric knowledge graphs : A case study for depression (short version). Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. Vol. 10259 LNAI Springer/Verlag, 2017. pp. 48-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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title = "Constructing disease-centric knowledge graphs: A case study for depression (short version)",
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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Huang, Z, Yang, J, van Harmelen, F & Hu, Q 2017, Constructing disease-centric knowledge graphs: A case study for depression (short version). in Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. vol. 10259 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10259 LNAI, Springer/Verlag, pp. 48-52, 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, 21/06/17. https://doi.org/10.1007/978-3-319-59758-4_5

Constructing disease-centric knowledge graphs : A case study for depression (short version). / Huang, Zhisheng; Yang, Jie; van Harmelen, Frank; Hu, Qing.

Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. Vol. 10259 LNAI Springer/Verlag, 2017. p. 48-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10259 LNAI).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Huang Z, Yang J, van Harmelen F, Hu Q. Constructing disease-centric knowledge graphs: A case study for depression (short version). In Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings. Vol. 10259 LNAI. Springer/Verlag. 2017. p. 48-52. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-59758-4_5