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), 2017 and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 21 times , with 4 in the last month . More information about this presentation can be viewed below.

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Description

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.

Physical Description

29 p.

Source

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

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International Conference on Knowledge Management (ICKM), 2017

The 13th International Conference on Knowledge Management (ICKM) met October 25-26 in Dallas, Texas. Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations.

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  • October 25, 2017

Added to The UNT Digital Library

  • Nov. 15, 2017, 11:13 a.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; (digital.library.unt.edu/ark:/67531/metadc1040516/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .