Literature DB >> 2203909

EL BUSCA and the value of signals in the diagnosis of dysmorphic syndromes: good and bad handles in computer assisted differential diagnosis.

L J Salgado1, J S Lopez-Camelo, E E Castilla.   

Abstract

A computer system for the assistance of syndrome diagnosis in dysmorphology (EL BUSCA) was developed, and used to test the mechanics of the diagnostic process. EL BUSCA has a reference file (REF) with 200 syndromes, expressed in 175 signals. Signals have a weight value resulting from the difference between the number of syndromes including that sign and the total number of syndromes in the REF. A mean signal weight was calculated for each syndrome. The system was tested with 200 published cases (CASES), representing 82 different syndromes. Each consultation (CONS) entered up to 15 patient signals. The system then selected syndromes having three or more of those signals. 'Present' (REF+CASE), 'Absent' (REF only), and 'Additional' (CASE only) signals, as well as the score given by the sum of the weights of 'present' signals, were displayed for each suggested diagnosis. A consultation was successful (positive answer) if the correct diagnosis appeared among the first 12 ranked. EL BUSCA gave a positive answer in 82% of the 200 test consultations. Linear regression, with ranking of the correct diagnosis among the answers as the dependent variable, was used for the analysis of the following results. For the REF, no relationship was found for either the number or the mean weight of the signals with the ranking of the correct diagnosis. For the CASES, there was a linear relationship between the number of signals of each consultation and the ranking of the correct diagnosis, indicating that the larger the number of signals consulted, the lower the ranking of the correct diagnosis. No effect was seen for the mean weight of consulted signals.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1990        PMID: 2203909      PMCID: PMC1017183          DOI: 10.1136/jmg.27.7.446

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  6 in total

1.  GENDIAG: a computer-assisted facility in medical genetics based on belief functions.

Authors:  J Gouvernet; M Caraboeuf; S Ayme
Journal:  Methods Inf Med       Date:  1985-10       Impact factor: 2.176

2.  SYNDROC: microcomputer based differential diagnosis of malformation patterns.

Authors:  D Schorderet; P Aebischer
Journal:  Arch Dis Child       Date:  1985-03       Impact factor: 3.791

3.  A computerised data base for the diagnosis of rare dysmorphic syndromes.

Authors:  R M Winter; M Baraitser; J M Douglas
Journal:  J Med Genet       Date:  1984-04       Impact factor: 6.318

4.  Internist-1, an experimental computer-based diagnostic consultant for general internal medicine.

Authors:  R A Miller; H E Pople; J D Myers
Journal:  N Engl J Med       Date:  1982-08-19       Impact factor: 91.245

5.  Diagnosing human malformation patterns with a microcomputer: evaluation of two different algorithms.

Authors:  D F Schorderet
Journal:  Am J Med Genet       Date:  1987-10

6.  The art of diagnosis: solving the clinicopathological exercise.

Authors:  D M Eddy; C H Clanton
Journal:  N Engl J Med       Date:  1982-05-27       Impact factor: 91.245

  6 in total
  2 in total

Review 1.  Programs, databases, and expert systems for human geneticists--a survey.

Authors:  C Fischer; S Schweigert; C Spreckelsen; F Vogel
Journal:  Hum Genet       Date:  1996-02       Impact factor: 4.132

2.  Using medical genetics applications to educate for computer competence.

Authors:  J A Mitchell
Journal:  Am J Hum Genet       Date:  1991-11       Impact factor: 11.025

  2 in total

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