American Medical Informatics Association (AMIA) Annual Symposium

Text and Ontology Driven Clinical Decision Support System

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In 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.

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American Medical Informatics Association (AMIA)

American Medical Informatics Association (AMIA)

Washington Hilton hotel

November, 2013

Downloads: 1171 downloads

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