Literature DB >> 12460632

MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports.

Udo Hahn1, Martin Romacker, Stefan Schulz.   

Abstract

MEDSYNDIKATE is a natural language processor, which automatically acquires medical information from findings reports. In the course of text analysis their contents is transferred to conceptual representation structures, which constitute a corresponding text knowledge base. MEDSYNDIKATE is particularly adapted to deal properly with text structures, such as various forms of anaphoric reference relations spanning several sentences. The strong demands MEDSYNDIKATE poses on the availability of expressive knowledge sources are accounted for by two alternative approaches to acquire medical domain knowledge (semi)automatically. We also present data for the information extraction performance of MEDSYNDIKATE in terms of the semantic interpretation of three major syntactic patterns in medical documents.

Mesh:

Year:  2002        PMID: 12460632     DOI: 10.1016/s1386-5056(02)00053-9

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  31 in total

1.  A system for coreference resolution for the clinical narrative.

Authors:  Jiaping Zheng; Wendy W Chapman; Timothy A Miller; Chen Lin; Rebecca S Crowley; Guergana K Savova
Journal:  J Am Med Inform Assoc       Date:  2012-01-31       Impact factor: 4.497

2.  Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports.

Authors:  Wendy W Chapman; John N Dowling
Journal:  J Biomed Inform       Date:  2005-08-22       Impact factor: 6.317

3.  A system for automated lexical mapping.

Authors:  Jennifer Y Sun; Yao Sun
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

4.  Towards semantic role labeling & IE in the medical literature.

Authors:  Yacov Kogan; Nigel Collier; Serguei Pakhomov; Michael Krauthammer
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Automating tissue bank annotation from pathology reports - comparison to a gold standard expert annotation set.

Authors:  Kaihong Liu; Kevin J Mitchell; Wendy W Chapman; Rebecca S Crowley
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  Lessons extracting diseases from discharge summaries.

Authors:  William Long
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

7.  Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.

Authors:  Xiaoyan Wang; George Hripcsak; Marianthi Markatou; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

8.  Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor.

Authors:  Joshua C Denny; Randolph A Miller; Lemuel Russell Waitman; Mark A Arrieta; Joshua F Peterson
Journal:  Int J Med Inform       Date:  2008-10-19       Impact factor: 4.046

9.  Identification of documented medication non-adherence in physician notes.

Authors:  Alexander Turchin; Holly I Wheeler; Matthew Labreche; Julia T Chu; Merri L Pendergrass; Jonathan S Einbinder; Jonathan Seth Einbinder
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

10.  Identification of inactive medications in narrative medical text.

Authors:  Eugene M Breydo; Julia T Chu; Alexander Turchin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06
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