Text and Ontology Driven Clinical Decision Support System

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dc.contributor.authorDhariwal, Deepal
dc.contributor.authorJoshi, Anupam
dc.contributor.authorGrasso, Michael A.
dc.date.accessioned2018-11-02T15:42:00Z
dc.date.available2018-11-02T15:42:00Z
dc.date.issued2013-10-31
dc.descriptionAmerican Medical Informatics Association (AMIA) Annual Symposiumen
dc.description.abstractIn this paper, we discuss our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide clinically relevant information to the physicians.en
dc.description.sponsorshipDeidentified clinical records used in this research were provided by the i2b2 National Center for Biomedical Computing funded by U54LM008748 and were originally prepared for the Shared Tasks for Challenges in NLP for Clinical Data organized by Dr. Ozlem Uzuner, i2b2 and SUNY. The first two authors were supported by funds from the Oros Professorship endowment.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/651/Text-and-Ontology-Driven-Clinical-Decision-Support-Systemen
dc.format.extent1 pageen
dc.genreconference papers and proceedings pre-printen
dc.identifierdoi:10.13016/M2K931970
dc.identifier.citationDeepal Dhariwal, Anupam Joshi, and Michael A. Grasso, Text and Ontology Driven Clinical Decision Support System, American Medical Informatics Association (AMIA) Annual Symposium, 2013, https://ebiquity.umbc.edu/paper/html/id/651/Text-and-Ontology-Driven-Clinical-Decision-Support-Systemen
dc.identifier.urihttp://hdl.handle.net/11603/11846
dc.language.isoenen
dc.publisherAmerican Medical Informatics Association (AMIA)en
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectTexten
dc.subjectOntology Drivenen
dc.subjectclinical decision supporten
dc.subjectknowledge baseen
dc.subjectphysiciansen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleText and Ontology Driven Clinical Decision Support Systemen
dc.typeTexten

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