Mining Disease Association Relationships in Electronic Health Records: A Link Prediction Algorithm Based on Node Embedding

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Presentation for the 2017 International Conference on Knowledge Management. This presentation describes the use of a link prediction algorithm based on node embedding to map disease nodes and reveal relationships among various diseases.

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29 p.

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Xia, Lixin; Yu, Huangyingzi; Dong, QingXing & Cao, Gaohui October 25, 2017.

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This presentation is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 65 times. More information about this presentation can be viewed below.

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Presentation for the 2017 International Conference on Knowledge Management. This presentation describes the use of a link prediction algorithm based on node embedding to map disease nodes and reveal relationships among various diseases.

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29 p.

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  • 13th International Conference on Knowledge Management, October 25-26, 2017. Dallas, Texas.

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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  • October 25, 2017

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  • Nov. 15, 2017, 11:13 a.m.

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  • Aug. 9, 2019, 2:20 p.m.

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Xia, Lixin; Yu, Huangyingzi; Dong, QingXing & Cao, Gaohui. Mining Disease Association Relationships in Electronic Health Records: A Link Prediction Algorithm Based on Node Embedding, presentation, October 25, 2017; (https://digital.library.unt.edu/ark:/67531/metadc1040516/: accessed April 25, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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