Literature DB >> 3807686

HYDRA: a knowledge acquisition tool for expert systems that critique medical workup.

P L Miller, S J Blumenfrucht, J R Rose, M Rothschild, H A Swett, G Weltin, N J Mars.   

Abstract

HYDRA is a computer-based knowledge acquisition tool under development to assist in the creation of expert systems which critique medical workup. To use HYDRA, a domain expert first outlines the recommended approaches to the workup of a chosen medical problem, using the Augmented Transition Network formalism. From this model, HYDRA produces a list of the various conditions for which critiquing comments may be required to react to all possible approaches that might be proposed by the user of the critiquing system. Domain-specific constraints can be used to restrict the number of conditions suggested. In this way, HYDRA assists the domain expert by providing a model for structuring the problem, and by breaking down the domain expert's work into a set of small, easily understood tasks.

Mesh:

Year:  1987        PMID: 3807686     DOI: 10.1177/0272989X8700700106

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  4 in total

1.  Providing concept-oriented views for clinical data using a knowledge-based system: an evaluation.

Authors:  Qing Zeng; James J Cimino; Kelly H Zou
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

2.  Augmented transition networks as a representation for knowledge-based history-taking systems.

Authors:  A D Poon; K B Johnson; L M Fagan
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

3.  The potential use of expert systems to enable physicians to order more cost-effective diagnostic imaging examinations.

Authors:  G D Sanders; E A Lyons
Journal:  J Digit Imaging       Date:  1991-05       Impact factor: 4.056

4.  Optimizing radiologic workup: an artificial intelligence approach.

Authors:  H A Swett; M Rothschild; G G Weltin; P R Fisher; P L Miller
Journal:  J Digit Imaging       Date:  1989-02       Impact factor: 4.056

  4 in total

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