Title: Experts' knowledge acquisition for differential diagnostics of bronchial asthma in children in STEPCLASS environment
Authors: Eugenia Furems, Ludmila Sokolova
Addresses: Institute for System Analysis of the Russian Academy of Sciences, 9, Prospect of 60 let Octyabrya, Moscow 117312, Russia. ' Moscow Institute of Pediatrics and Children's Surgery, 2, Taldomskaya Street, Moscow 147412, Russia
Abstract: The problem of experts| knowledge acquisition for diagnostic decision support systems (DDSS) is considered as a multi-attribute classification problem (MACP), where a class is the subset of objects with the same diagnosis. Method STEPCLASS has proved to be an effective tool for such problem solving in various applications due to its ability to construct complete (up to the experts| knowledge) and contradiction-free knowledge bases. The main techniques of STEPCLASS – application domain structuring, large-size problem decomposition, classification rules eliciting, and rules| inconsistency control – are considered and illustrated with its application for constructing knowledge base of DDSS for differential diagnostics of bronchial asthma in children (DDBAC).
Keywords: experts; knowledge acquisition; DDSS knowledge base; diagnostic decision support systems; diagnostic DSS; multi-attribute classification; application domain structuring; large-size problem decomposition; rules consistency control; differential diagnostics; child bronchial asthma; children; classification rules.
International Journal of Technology, Policy and Management, 2011 Vol.11 No.1, pp.68 - 84
Published online: 31 Mar 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article