Representation of assertions in clinical free-text using SNOMED CT
Information retrieval (IR) by clinicians in the healthcare setting is critical for informing clinical decision-making. However, a large part of this information is in the form of free-text and inhibits clinical decision support and effective healthcare services. This makes meaningful use of clinical free-text in electronic health records (EHRs) for patient care a difficult task. Within the context of IR, given a repository of free-text clinical reports, one might want to retrieve and analyse data for patients who have a known clinical finding.
Impact and interest:
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These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
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|Item Type:||Journal Article|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Australasian Medical Journal Pty. Ltd|
|Deposited On:||14 Mar 2013 04:51|
|Last Modified:||12 Jun 2013 15:37|
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