Rule-based information extraction from patients' clinical data.
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Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identificationA Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.Terminology extraction from medical texts in Polish.The use of regional platforms for managing electronic health records for the production of regional public health indicators in France.The Yale cTAKES extensions for document classification: architecture and application.Fine-grained information extraction from German transthoracic echocardiography reportsA Study of Concept Extraction Across Different Types of Clinical Notes.Eventual situations for timeline extraction from clinical reports.Automated extraction of BI-RADS final assessment categories from radiology reports with natural language processing.Vaccine adverse event text mining system for extracting features from vaccine safety reports.Role of Soft Computing Approaches in HealthCare Domain: A Mini Review.Clinical Natural Language Processing in languages other than English: opportunities and challenges.
P2860
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P2860
Rule-based information extraction from patients' clinical data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Rule-based information extraction from patients' clinical data.
@ast
Rule-based information extraction from patients' clinical data.
@en
type
label
Rule-based information extraction from patients' clinical data.
@ast
Rule-based information extraction from patients' clinical data.
@en
prefLabel
Rule-based information extraction from patients' clinical data.
@ast
Rule-based information extraction from patients' clinical data.
@en
P1476
Rule-based information extraction from patients' clinical data.
@en
P2093
Anna Kupść
P304
P356
10.1016/J.JBI.2009.07.007
P577
2009-07-29T00:00:00Z