Literature DB >> 20582249

Easing semantically enriched information retrieval-An interactive semi-automatic annotation system for medical documents.

Theresia Gschwandtner1, Katharina Kaiser, Patrick Martini, Silvia Miksch.   

Abstract

Mapping medical concepts from a terminology system to the concepts in the narrative text of a medical document is necessary to provide semantically accurate information for further processing steps. The MetaMap Transfer (MMTx) program is a semantic annotation system that generates a rough mapping of concepts from the Unified Medical Language System (UMLS) Metathesaurus to free medical text, but this mapping still contains erroneous and ambiguous bits of information. Since manually correcting the mapping is an extremely cumbersome and time-consuming task, we have developed the MapFace editor.The editor provides a convenient way of navigating the annotated information gained from the MMTx output, and enables users to correct this information on both a conceptual and a syntactical level, and thus it greatly facilitates the handling of the MMTx program. Additionally, the editor provides enhanced visualization features to support the correct interpretation of medical concepts within the text. We paid special attention to ensure that the MapFace editor is an intuitive and convenient tool to work with. Therefore, we recently conducted a usability study in order to create a well founded background serving as a starting point for further improvement of the editor's usability.

Entities:  

Year:  2010        PMID: 20582249      PMCID: PMC2892307          DOI: 10.1016/j.ijhcs.2009.08.002

Source DB:  PubMed          Journal:  Int J Hum Comput Stud        ISSN: 1071-5819            Impact factor:   3.632


  11 in total

1.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

2.  Aggregating UMLS semantic types for reducing conceptual complexity.

Authors:  A T McCray; A Burgun; O Bodenreider
Journal:  Stud Health Technol Inform       Date:  2001

3.  "Understanding" medical school curriculum content using KnowledgeMap.

Authors:  Joshua C Denny; Jeffrey D Smithers; Randolph A Miller; Anderson Spickard
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

4.  Finding UMLS Metathesaurus concepts in MEDLINE.

Authors:  Suresh Srinivasan; Thomas C Rindflesch; William T Hole; Alan R Aronson; James G Mork
Journal:  Proc AMIA Symp       Date:  2002

Review 5.  Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: a literature review of guideline representation models.

Authors:  Dongwen Wang; Mor Peleg; Samson W Tu; Aziz A Boxwala; Robert A Greenes; Vimla L Patel; Edward H Shortliffe
Journal:  Int J Med Inform       Date:  2002-12-18       Impact factor: 4.046

6.  Partitioning the UMLS semantic network.

Authors:  Zong Chen; Yehoshua Perl; Michael Halper; James Geller; Huanying Gu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2002-06

7.  Metaphrase: an aid to the clinical conceptualization and formalization of patient problems in healthcare enterprises.

Authors:  M S Tuttle; N E Olson; K D Keck; W G Cole; M S Erlbaum; D D Sherertz; C G Chute; P L Elkin; G E Atkin; B H Kaihoi; C Safran; D Rind; V Law
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

8.  The representation of meaning in the UMLS.

Authors:  A T McCray; S J Nelson
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

9.  The UMLS Metathesaurus: representing different views of biomedical concepts.

Authors:  P L Schuyler; W T Hole; M S Tuttle; D D Sherertz
Journal:  Bull Med Libr Assoc       Date:  1993-04

10.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

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