Literature DB >> 8218983

Diagnostic decision support by inference networks.

P H Bartels1, D Thompson, J E Weber.   

Abstract

Inference networks permit the combining of diagnostic evidence in such a fashion that the mutual dependence structure of different pieces of evidence is considered, and that a probabilistic measure of the uncertainty of the final diagnostic decision is provided. Operated in an automatic reasoning mode, an inference network allows a decoupling of the false negative rate from the false positive rate in diagnostic procedures involving rare event detection such as the prescreening for cervical cancer.

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Year:  1993        PMID: 8218983

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  3 in total

Review 1.  Modeling paradigms for medical diagnostic decision support: a survey and future directions.

Authors:  Kavishwar B Wagholikar; Vijayraghavan Sundararajan; Ashok W Deshpande
Journal:  J Med Syst       Date:  2011-10-01       Impact factor: 4.460

2.  Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast.

Authors:  P W Hamilton; N Anderson; P H Bartels; D Thompson
Journal:  J Clin Pathol       Date:  1994-04       Impact factor: 3.411

Review 3.  Screening for cervical cancer using automated analysis of PAP-smears.

Authors:  Ewert Bengtsson; Patrik Malm
Journal:  Comput Math Methods Med       Date:  2014-03-20       Impact factor: 2.238

  3 in total

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