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Negative findings in electronic health records and biomedical ontologies: A realist approach

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Year: 2007
Type: article
Source: International Journal of Medical Informatics
DOI: 10.1016/j.ijmedinf.2007.02.003
Authors: Werner Ceusters, Peter Elkin, Barry Smith
Institutions: University at Buffalo, State University of New York, Mayo Clinic
Language: English

Topic: Biomedical Text Mining and Ontologies
Subfield: Molecular Biology
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Centers for Disease Control and Prevention, National Human Genome Research Institute, U.S. National Library of Medicine
Awards: G1596393284, BIOSURVEILLANCE UTILIZING SNOMED-CT BASED NATURAL LANGUAGE PROCESSING, G5997679733, Controlled Vocabulary Design for Clinical Applications, National Center for Biomedical Ontology, G855492363, INDEPENDENT VALIDATION & VERIFICATION OF BIOSENSE, G9000014473
OpenAlex ID: W1981625432
FWCI: 1.989
Cites: 25
Cited by: 60
Related to: 10
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