Literature DB >> 2653719

The effect of dependence on the performance of Bayes' theorem: an evaluation using a computer simulation.

T Chard1.   

Abstract

A computer simulation is described which generates 'cases' of vaginal discharge. This simulation was used to evaluate the potential effects of dependence between clinical features on the diagnostic performance of Bayes' theorem. The following observations were made: (1) dependence between some but not all pairs of features reduced the overall diagnostic efficiency (judged by the number of true positive diagnoses); (2) the overall reduction in efficiency was never substantial; (3) the largest effects on the diagnosis of individual conditions was observed with rarer diseases, and with combinations of features which were inherently unlikely to be dependent. It is concluded that the diagnostic efficiency of Bayes' theorem will not be greatly influenced by dependence if a reasonable amount of commonsense is applied to the selection of the knowledge base.

Mesh:

Year:  1989        PMID: 2653719     DOI: 10.1016/0169-2607(89)90085-0

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  The impact of modeling the dependencies among patient findings on classification accuracy and calibration.

Authors:  S Monti; G F Cooper
Journal:  Proc AMIA Symp       Date:  1998

2.  Quantitative assessments from the clinical examination. How should clinicians integrate the numerous results?

Authors:  D R Holleman; D L Simel
Journal:  J Gen Intern Med       Date:  1997-03       Impact factor: 5.128

3.  An evaluation of factors influencing Bayesian learning systems.

Authors:  E L Eisenstein; F Alemi
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

  3 in total

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