Literature DB >> 7949930

An empirical investigation into the conceptual structure of chest radiograph findings.

E Pattison-Gordon1, R A Greenes.   

Abstract

A method of investigating the conceptual structure of findings is presented, in which: 1) finding statements are extracted manually from free text, 2) the main concepts in each finding are manually identified and classified, and 3) the resulting sets of classes are examined for insights into finding structure. This study applies the method to chest radiograph reports. Although the subjects of the findings studied fall into seven classes, the same conceptual structure can be used for most of them.

Mesh:

Year:  1994        PMID: 7949930      PMCID: PMC2247810     

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


  4 in total

1.  Foundations for an electronic medical record.

Authors:  A L Rector; W A Nowlan; S Kay
Journal:  Methods Inf Med       Date:  1991-08       Impact factor: 2.176

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.  Toward a medical-concept representation language. The Canon Group.

Authors:  D A Evans; J J Cimino; W R Hersh; S M Huff; D S Bell
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

4.  Experiments in concept modeling for radiographic image reports.

Authors:  D S Bell; E Pattison-Gordon; R A Greenes
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

  4 in total
  2 in total

1.  Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary.

Authors:  S M Huff; R A Rocha; C J McDonald; G J De Moor; T Fiers; W D Bidgood; A W Forrey; W G Francis; W R Tracy; D Leavelle; F Stalling; B Griffin; P Maloney; D Leland; L Charles; K Hutchins; J Baenziger
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

2.  Finding the findings: identification of findings in medical literature using restricted natural language processing.

Authors:  C A Sneiderman; T C Rindflesch; A R Aronson
Journal:  Proc AMIA Annu Fall Symp       Date:  1996
  2 in total

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