Literature DB >> 8563286

Experience with a mixed semantic/syntactic parser.

P J Haug1, S Koehler, L M Lau, P Wang, R Rocha, S M Huff.   

Abstract

The value of the computerized medical record is derived in part from the availability of medical information in a coded form accessible to manipulation by processes designed for automated decision support, medical research, and computer assistance in the management of health care delivery. To meet these needs medical reports captured and stored as natural language documents must be encoded. Below we discuss an ongoing formative process aimed at developing a natural language understanding system for chest x-ray reports. Comparative data showing the progress of this process is presented.

Mesh:

Year:  1995        PMID: 8563286      PMCID: PMC2579100     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  6 in total

1.  Computerized extraction of coded findings from free-text radiologic reports. Work in progress.

Authors:  P J Haug; D L Ranum; P R Frederick
Journal:  Radiology       Date:  1990-02       Impact factor: 11.105

Review 2.  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

3.  A general natural-language text processor for clinical radiology.

Authors:  C Friedman; P O Alderson; J H Austin; J J Cimino; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

4.  A natural language understanding system combining syntactic and semantic techniques.

Authors:  P Haug; S Koehler; L M Lau; P Wang; R Rocha; S Huff
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

5.  HELP the next generation: a new client-server architecture.

Authors:  S M Huff; P J Haug; L E Stevens; R C Dupont; T A Pryor
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

6.  Development of a computerized infectious disease monitor (CIDM).

Authors:  R S Evans; R M Gardner; A R Bush; J P Burke; Y A Jacobson; R A Larsen; F A Meier; H R Warner
Journal:  Comput Biomed Res       Date:  1985-04
  6 in total
  36 in total

1.  Automatic identification of pneumonia related concepts on chest x-ray reports.

Authors:  M Fiszman; W W Chapman; S R Evans; P J Haug
Journal:  Proc AMIA Symp       Date:  1999

2.  Medical text representations for inductive learning.

Authors:  A Wilcox; G Hripcsak
Journal:  Proc AMIA Symp       Date:  2000

3.  Automatic detection of acute bacterial pneumonia from chest X-ray reports.

Authors:  M Fiszman; W W Chapman; D Aronsky; R S Evans; P J Haug
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

4.  A semantic lexicon for medical language processing.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

5.  Medical problem and document model for natural language understanding.

Authors:  Stephanie Meystre; Peter J Haug
Journal:  AMIA Annu Symp Proc       Date:  2003

6.  Extracting structured information from free text pathology reports.

Authors:  Gunther Schadow; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2003

7.  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

8.  Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Authors:  Guergana K Savova; James J Masanz; Philip V Ogren; Jiaping Zheng; Sunghwan Sohn; Karin C Kipper-Schuler; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

9.  Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.

Authors:  Saeed Hassanpour; Curtis P Langlotz
Journal:  J Digit Imaging       Date:  2016-02       Impact factor: 4.056

10.  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

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