J Biomed Inform - Restricted natural language based querying of clinical databases.

Tópicos

{ data(3963) clinic(1234) research(1004) }
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{ concept(1167) ontolog(924) domain(897) }
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{ method(1557) propos(1049) approach(1037) }
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{ implement(1333) system(1263) develop(1122) }
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{ imag(1057) registr(996) error(939) }
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{ survey(1388) particip(1329) question(1065) }
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{ method(2212) result(1239) propos(1039) }

Resumo

RPOSE: To elevate the level of care to the community it is essential to provide usable tools for healthcare professionals to extract knowledge from clinical data. In this paper a generic translation algorithm is proposed to translate a restricted natural language query (RNLQ) to a standard query language like SQL (Structured Query Language).METHODS: A special purpose clinical data analytics language (CliniDAL) has been introduced which provides scheme of six classes of clinical questioning templates. A translation algorithm is proposed to translate the RNLQ of users to SQL queries based on a similarity-based Top-k algorithm which is used in the mapping process of CliniDAL. Also a two layer rule-based method is used to interpret the temporal expressions of the query, based on the proposed temporal model. The mapping and translation algorithms are generic and thus able to work with clinical databases in three data design models, including Entity-Relationship (ER), Entity-Attribute-Value (EAV) and XML, however it is only implemented for ER and EAV design models in the current work.RESULTS: It is easy to compose a RNLQ via CliniDAL's interface in which query terms are automatically mapped to the underlying data models of a Clinical Information System (CIS) with an accuracy of more than 84% and the temporal expressions of the query comprising absolute times, relative times or relative events can be automatically mapped to time entities of the underlying CIS and to normalized temporal comparative values.CONCLUSION: The proposed solution of CliniDAL using the generic mapping and translation algorithms which is enhanced by a temporal analyzer component provides a simple mechanism for composing RNLQ for extracting knowledge from CISs with different data design models for analytics purposes.

Resumo Limpo

rpose elev level care communiti essenti provid usabl tool healthcar profession extract knowledg clinic data paper generic translat algorithm propos translat restrict natur languag queri rnlq standard queri languag like sql structur queri languagemethod special purpos clinic data analyt languag clinid introduc provid scheme six class clinic question templat translat algorithm propos translat rnlq user sql queri base similaritybas topk algorithm use map process clinid also two layer rulebas method use interpret tempor express queri base propos tempor model map translat algorithm generic thus abl work clinic databas three data design model includ entityrelationship er entityattributevalu eav xml howev implement er eav design model current workresult easi compos rnlq via clinid interfac queri term automat map under data model clinic inform system cis accuraci tempor express queri compris absolut time relat time relat event can automat map time entiti under cis normal tempor compar valuesconclus propos solut clinid use generic map translat algorithm enhanc tempor analyz compon provid simpl mechan compos rnlq extract knowledg ciss differ data design model analyt purpos

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