Literature DB >> 7842190

Assessment of the severity of asthma by an expert system. Description and evaluation.

H Redier1, J P Daures, C Michel, H Proudhon, D Vervloet, D Charpin, J Marsac, D Dusser, C Brambilla, B Wallaert.   

Abstract

Asthmaexpert, an expert system (ES), was produced at the special request of several clinicians in order to better understand the medical decisions made clinical experts in managing an asthmatic patient. We describe and evaluate this knowledge base, focusing mainly on assessment of the severity of asthma. After compiling data from a patient, Asthmaexpert assesses the severity of the disease and identifies the trigger factors involved, suggests any further investigations that may be required, and offers a treatment strategy. Implemented with Nexpert and Hypercard, it runs on a MacIntosh personal computer. The validation stage involved eight clinical experts who provided 20 case report forms (CRF) with their conclusions about management of asthma. The CRF were then programmed into the ES, which provided its own conclusions about the same subjects. Afterward, all the experts evaluated the conclusions given by ES or by their colleagues in a double-blind manner. One hundred twenty-seven CRF were available. The reliability of the experts' opinions was good, with a substantial consensus between them when assessing severity scores (kappa = 0.27 to 0.54). There was no difference in concordance of opinions on severity scores either between the experts who designed the system and ES or between the other experts and ES (weighted kappa = 0.72 and 0.69, respectively). Experts judged that the severity scores given by ES were as good as those proposed by their colleagues, and that the overall conclusions given by ES were as good as or better than those given by their colleagues. The conclusions drawn by ES were given a good rating.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7842190     DOI: 10.1164/ajrccm.151.2.7842190

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  7 in total

1.  Fuzzy rule-based expert system for assessment severity of asthma.

Authors:  Maryam Zolnoori; Mohammad Hossein Fazel Zarandi; Mostafa Moin; Shahram Teimorian
Journal:  J Med Syst       Date:  2010-12-03       Impact factor: 4.460

2.  Fuzzy rule-based expert system for evaluating level of asthma control.

Authors:  Maryam Zolnoori; Mohammad Hosain Fazel Zarandi; Mostafa Moin; Mehran Taherian
Journal:  J Med Syst       Date:  2011-09-13       Impact factor: 4.460

3.  Accuracy of a computerized clinical decision-support system for asthma assessment and management.

Authors:  Laura J Hoeksema; Alia Bazzy-Asaad; Edwin A Lomotan; Diana E Edmonds; Gabriela Ramírez-Garnica; Richard N Shiffman; Leora I Horwitz
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

4.  Glucocorticoid insensitive asthma: a one year clinical follow up pilot study.

Authors:  P Demoly; D Jaffuel; M Mathieu; H Sahla; P Godard; F B Michel; J Bousquet
Journal:  Thorax       Date:  1998-12       Impact factor: 9.139

5.  Automated application of clinical practice guidelines for asthma management.

Authors:  A R Ertle; E M Campbell; W R Hersh
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

6.  Application of intelligent systems in asthma disease: designing a fuzzy rule-based system for evaluating level of asthma exacerbation.

Authors:  Maryam Zolnoori; Mohammad Hossein Fazel Zarandi; Mostafa Moin
Journal:  J Med Syst       Date:  2011-03-12       Impact factor: 4.460

7.  Body mass index and comorbidities in adult severe asthmatics.

Authors:  Andreina Bruno; Elisabetta Pace; Fabio Cibella; Pascal Chanez
Journal:  Biomed Res Int       Date:  2014-05-28       Impact factor: 3.411

  7 in total

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