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Journal article

Ontologies in big health data analytics: application to routine clinical data

Abstract:

Ontologies are an important big-data analytics tool. Historically code lists were created by domain experts and mapped between different coding systems. Ontologies allow us to develop better representations of clinical concepts, data and facilitate better data extracts from routine clinical data. It also makes the process of case identification and key outcome measures transparent. We describe a process we have operationalised in our research. We use ontologies to resolve the semantics of com...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Department:
Unknown
Role:
Author
ORCID:
0000-0002-8553-2641
Publisher:
IOS Press
Series:
Studies in Health Technology and Informatics
Journal:
Decision Support Systems and Education More from this journal
Volume:
255
Pages:
65-69
Publication date:
2018-01-01
DOI:
EISSN:
1879-8365
ISSN:
0926-9630
Pmid:
30306908
ISBN:
9781614999201
Language:
English
Keywords:
Pubs id:
pubs:1013696
UUID:
uuid:e7d42fa7-598c-42dd-a40e-36399434d61e
Local pid:
pubs:1013696
Source identifiers:
1013696
Deposit date:
2019-12-16

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