Literature DB >> 1857254

Problem area formation as an element of computer aided diagnosis: a comparison of two strategies within quick medical reference (QMR).

L Berman1, R A Miller.   

Abstract

INTERNIST-I's use of "partitioning" to group related diagnoses into problem areas (for competitive consideration and elimination during case analysis) is felt to be the source of many of its strengths as well as some of its weaknesses. QMR, INTERNIST-I's successor program, embodies a homology function which can act as an alternative to the partitioner for problem area formation. This study undertakes a comparison of the problem areas generated by the INTERNIST-I partitioning algorithm, the QMR homology function, and expert clinicians; it finds the correlation to be poor. The authors then discuss another method of problem area formation which might better mimic a human clinician and provide an alternative approach in diagnostic computer-aided decision making.

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Year:  1991        PMID: 1857254

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  5 in total

1.  Influence of case and physician characteristics on perceptions of decision support systems.

Authors:  E S Berner; R S Maisiak
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Effects of a decision support system on physicians' diagnostic performance.

Authors:  E S Berner; R S Maisiak; C G Cobbs; O D Taunton
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

3.  Automated integration of external databases: a knowledge-based approach to enhancing rule-based expert systems.

Authors:  L Berman; M R Cullen; P L Miller
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

Review 4.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

5.  Uncovering hidden disease patterns by simulating clinical diagnostic processes.

Authors:  Abolfazl Ramezanpour; Alireza Mashaghi
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

  5 in total

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