Literature DB >> 8947728

Notations for high efficiency data presentation in mammography.

J Starren1, S M Johnson.   

Abstract

As a result of improvements in Medical Language Processing, the availability of categorical information (such as diagnoses or radiology findings) is increasing rapidly. This increased availability has created a need for more efficient methods for computer presentation. One method for developing such presentations would be to adapt the hand-written notation systems already used in paper-based records. We have characterized one such notation system, the Mammography Notation Sublanguage(MNS). The MNS is a true medical sublanguage, with a definable lexicon and syntax. Compared with text reports, it represents a 37-fold size compression. A single "base", sublanguage pattern is identified for possible computer presentation of mammography findings. The issues involved in using such sublanguages for data presentation are discussed.

Mesh:

Year:  1996        PMID: 8947728      PMCID: PMC2233235     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  2 in total

1.  Graphical summary of patient status.

Authors:  S M Powsner; E R Tufte
Journal:  Lancet       Date:  1994-08-06       Impact factor: 79.321

2.  Human performance evaluation of a metaphor graphic display for respiratory data.

Authors:  W G Cole; J G Stewart
Journal:  Methods Inf Med       Date:  1994-10       Impact factor: 2.176

  2 in total
  5 in total

Review 1.  An object-oriented taxonomy of medical data presentations.

Authors:  J Starren; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  2000 Jan-Feb       Impact factor: 4.497

2.  The sublanguage of cross-coverage.

Authors:  Peter D Stetson; Stephen B Johnson; Matthew Scotch; George Hripcsak
Journal:  Proc AMIA Symp       Date:  2002

3.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

4.  Determining prominent subdomains in medicine.

Authors:  Powell J Bernhardt; Susanne M Humphrey; Thomas C Rindflesch
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.

Authors:  Peggy L Peissig; Luke V Rasmussen; Richard L Berg; James G Linneman; Catherine A McCarty; Carol Waudby; Lin Chen; Joshua C Denny; Russell A Wilke; Jyotishman Pathak; David Carrell; Abel N Kho; Justin B Starren
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

  5 in total

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