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

Zhisheng Huang*, Jie Yang, Frank van Harmelen, Qing Hu

*Corresponding author for this work

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

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