. Huang, Z., Yang, J., van Harmelen , F., & Hu, Q. Volume 10259 LNAI. Constructing disease-centric knowledge graphs: A case study for depression (short version), pages 48–52. Springer/Verlag, 2017. doi abstract bibtex 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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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.",
author = "Zhisheng Huang and Jie Yang and {van Harmelen}, Frank and Qing Hu",
year = "2017",
doi = "10.1007/978-3-319-59758-4_5",
isbn = "9783319597577",
volume = "10259 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer/Verlag",
pages = "48--52",
booktitle = "Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings",
}
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