Literature DB >> 9755285

Computer-assisted diagnosis of pediatric rheumatic diseases.

B H Athreya1, M L Cheh, L C Kingsland.   

Abstract

OBJECTIVE: AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases.
METHODOLOGY: AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic.
RESULTS: AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features.
CONCLUSIONS: AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool.

Entities:  

Mesh:

Year:  1998        PMID: 9755285     DOI: 10.1542/peds.102.4.e48

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  6 in total

1.  Paediatric clinical decision support systems.

Authors:  P Ramnarayan; J Britto
Journal:  Arch Dis Child       Date:  2002-11       Impact factor: 3.791

Review 2.  Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview.

Authors:  Josefina Gutiérrez-Martínez; Carlos Pineda; Hugo Sandoval; Araceli Bernal-González
Journal:  Clin Rheumatol       Date:  2019-11-06       Impact factor: 2.980

3.  Designing a decision support system for existing clinical organizational structures: considerations from a rheumatology clinic.

Authors:  Orjan Dahlström; Ingrid Thyberg; Ursula Hass; Thomas Skogh; Toomas Timpka
Journal:  J Med Syst       Date:  2006-10       Impact factor: 4.460

4.  Computer-assisted pattern recognition of autoantibody results.

Authors:  Steven R Binder; Mark C Genovese; Joan T Merrill; Robert I Morris; Allan L Metzger
Journal:  Clin Diagn Lab Immunol       Date:  2005-12

5.  Implementation of expert systems to support the functional evaluation of stand-to-sit activity.

Authors:  Maíra Junkes-Cunha; Glauco Cardozo; Christine F Boos; Fernando de Azevedo
Journal:  Biomed Eng Online       Date:  2014-07-21       Impact factor: 2.819

Review 6.  Computer-based diagnostic expert systems in rheumatology: where do we stand in 2014?

Authors:  Hannes Alder; Beat A Michel; Christian Marx; Giorgio Tamborrini; Thomas Langenegger; Pius Bruehlmann; Johann Steurer; Lukas M Wildi
Journal:  Int J Rheumatol       Date:  2014-07-08
  6 in total

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