Using knowledge graphs to plausibly infer missing associations in EMR data

William Van Woensel; Chad Armstrong; Malavan Rajaratnam; Vaibhav Gupta; Syed Sibte Raza Abidi

doi:10.3233/SHTI210192

Using knowledge graphs to plausibly infer missing associations in EMR data

William Van Woensel, Chad Armstrong, Malavan Rajaratnam, Vaibhav Gupta, Syed Sibte Raza Abidi

Health Professions

科研成果: 图书/报告稿件的类型 › 章节

3 引用（Scopus）

源语言	英语
主期刊名	Public Health and Informatics
主期刊副标题	Proceedings of MIE 2021
出版商	IOS Press
页	417-421
页数	5
ISBN（电子版）	9781643681856
ISBN（印刷版）	9781643681849
DOI	https://doi.org/10.3233/SHTI210192
出版状态	已出版 - 7月 1 2021

!!!ASJC Scopus Subject Areas

一般医学

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title = "Using knowledge graphs to plausibly infer missing associations in EMR data",

keywords = "Electronic Medical Records, Knowledge Graphs, Knowledge-based Reasoning, Medical Taxonomies",

author = "{Van Woensel}, William and Chad Armstrong and Malavan Rajaratnam and Vaibhav Gupta and Abidi, {Syed Sibte Raza}",

year = "2021",

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AU - Van Woensel, William

AU - Armstrong, Chad

AU - Rajaratnam, Malavan

AU - Gupta, Vaibhav

AU - Abidi, Syed Sibte Raza

PY - 2021/7/1

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KW - Electronic Medical Records

KW - Knowledge Graphs

KW - Knowledge-based Reasoning

KW - Medical Taxonomies

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M3 - Chapter

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SN - 9781643681849

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EP - 421

BT - Public Health and Informatics

PB - IOS Press

ER -

Using knowledge graphs to plausibly infer missing associations in EMR data

!!!ASJC Scopus Subject Areas

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