Controlled Vocabularies for DDI 3: Enhancing Machine-Actionability
نویسندگان
چکیده
منابع مشابه
Changing Controlled Vocabularies
For the foreseeable future, controlled medical vocabularies will be in a constant state of development, expansion and refinement. Changes in controlled vocabularies must be reconciled with historical patient information which is coded using those vocabularies and stored in clinical databases. This paper explores the kinds of changes that can occur in controlled vocabularies, including adding te...
متن کاملControlled Vocabularies in Oodbs
A major problem that arises in many large application domains is the discrepancy among terminologies of diierent information systems. The terms used by the information systems of one organization may not agree with the terms used by another organization even when they are in the same domain. Such a situation clearly impedes communication and the sharing of information, and decreases the eecienc...
متن کاملDesign of Controlled Vocabularies
Language is the chief embodiment of information and it is, therefore, not surprising that in the information age, a new importance should attach to language. The 1980s have been called ‘‘the decade of language.’’ Worldwide the present publication of language tools, such as dictionaries, glossaries, and thesauri, is proceeding at the rate of 500 per month and there now exist over 10,000 vocabula...
متن کاملCreating and Aligning Controlled Vocabularies
A vocabulary stores words, synonyms, word sense definitions (i.e. glosses), relations between word senses and concepts; such a vocabulary is generally referred to as the Controlled Vocabulary if choice or selections of terms are done by domain specialists. In our case,we create and match two controlled vocabularies by using their concept facet. This methodology is based on semantic matching whi...
متن کاملEffective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies
BACKGROUND Extracting structured data from narrated medical reports is challenged by the complexity of heterogeneous structures and vocabularies and often requires significant manual effort. Traditional machine-based approaches lack the capability to take user feedbacks for improving the extraction algorithm in real time. OBJECTIVE Our goal was to provide a generic information extraction fram...
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ژورنال
عنوان ژورنال: IASSIST Quarterly
سال: 2010
ISSN: 0739-1137,0739-1137
DOI: 10.29173/iq649