Literature DB >> 14728240

Extracting structured information from free text pathology reports.

Gunther Schadow1, Clement J McDonald.   

Abstract

We have developed a method that extracts structured information about specimens and their related findings in free-text surgical pathology reports. Our method uses regular expressions that drive a state-automaton on top of XSLT and Java. Text fragments identified are coded against the UMLS. This paper describes the technical approach and reports on a preliminary evaluation study, designed to guide further development. We found that of 275 reviewed reports, 91% were coded at least so that all specimens and their critical pathologic findings were represented in codes.

Mesh:

Year:  2003        PMID: 14728240      PMCID: PMC1480213     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  7 in total

1.  Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.

Authors:  P G Mutalik; A Deshpande; P M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

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

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

3.  A successful technique for removing names in pathology reports using an augmented search and replace method.

Authors:  Sean M Thomas; Burke Mamlin; Gunther Schadow; Clement McDonald
Journal:  Proc AMIA Symp       Date:  2002

4.  Quality assurance in anatomic pathology: automated SNOMED coding.

Authors:  K J Carter; S Rinehart; E Kessler; L P Caccamo; N P Ritchey; B A Erickson; F Castro; M D Poggione
Journal:  J Am Med Inform Assoc       Date:  1996 Jul-Aug       Impact factor: 4.497

Review 5.  Natural language processing and the representation of clinical data.

Authors:  N Sager; M Lyman; C Bucknall; N Nhan; L J Tick
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

6.  Experience with a mixed semantic/syntactic parser.

Authors:  P J Haug; S Koehler; L M Lau; P Wang; R Rocha; S M Huff
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

7.  Unlocking clinical data from narrative reports: a study of natural language processing.

Authors:  G Hripcsak; C Friedman; P O Alderson; W DuMouchel; S B Johnson; P D Clayton
Journal:  Ann Intern Med       Date:  1995-05-01       Impact factor: 25.391

  7 in total
  24 in total

1.  Open-source toolkit for simple XML annotation.

Authors:  Burke W Mamlin; Gunther Schadow; J Marc Overhage
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Enhancing clinical concept extraction with distributional semantics.

Authors:  Siddhartha Jonnalagadda; Trevor Cohen; Stephen Wu; Graciela Gonzalez
Journal:  J Biomed Inform       Date:  2011-11-07       Impact factor: 6.317

Review 3.  Natural Language Processing methods and systems for biomedical ontology learning.

Authors:  Kaihong Liu; William R Hogan; Rebecca S Crowley
Journal:  J Biomed Inform       Date:  2010-07-18       Impact factor: 6.317

4.  Using a statistical natural language Parser augmented with the UMLS specialist lexicon to assign SNOMED CT codes to anatomic sites and pathologic diagnoses in full text pathology reports.

Authors:  Henry J Lowe; Yang Huang; Donald P Regula
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

5.  Automation of a problem list using natural language processing.

Authors:  Stephane Meystre; Peter J Haug
Journal:  BMC Med Inform Decis Mak       Date:  2005-08-31       Impact factor: 2.796

6.  SPIN query tools for de-identified research on a humongous database.

Authors:  Clement J McDonald; Paul Dexter; Gunther Schadow; Henry C Chueh; Greg Abernathy; John Hook; Lonnie Blevins; J Marc Overhage; Jules J Berman
Journal:  AMIA Annu Symp Proc       Date:  2005

7.  Comparing natural language processing tools to extract medical problems from narrative text.

Authors:  Stéphane M Meystre; Peter J Haug
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  Heuristic sample selection to minimize reference standard training set for a part-of-speech tagger.

Authors:  Kaihong Liu; Wendy Chapman; Rebecca Hwa; Rebecca S Crowley
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

9.  Evaluation of the VA/KP problem list subset of SNOMED as a clinical terminology for electronic prescription clinical decision support.

Authors:  Surendranath Mantena; Gunther Schadow
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

10.  A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries.

Authors:  Yonghui Wu; Joshua C Denny; S Trent Rosenbloom; Randolph A Miller; Dario A Giuse; Hua Xu
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03
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