Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1867
Title: Modelling diagnostic skills in the domain of skeletal dysplasias
Authors: Dams, F. 
Washbrook, John 
Keravnou-Papailiou, Elpida 
Major Field of Science: Medical and Health Sciences
Keywords: Computer science;Expert systems (Computer science);Biomedicine;Diagnosis
Issue Date: Dec-1994
Source: Computer methods and programs in biomedicine, 1994, vol. 45, no. 4, pp. 239–260
Volume: 45
Issue: 4
Start page: 239
End page: 260
Journal: Computer Methods and Programs in Biomedicine 
Abstract: The diagnostic model used in the medical expert system Skeletal Dysplasias Diagnostician (SDD) is discussed. The model aims to capture the diagnostic skills of domain experts. Such skills represent high level strategies which apply across different medical domains and hence the presented model is relatively generic. Preliminary evaluation of an earlier version of the diagnostic model, which yielded promising results, has led to a considerably improved model. A sample consultation given in an appendix illustrates most aspects of the current model. The paper concludes by giving the authors' practical insights into the knowledge engineering of medical diagnostic systems
URI: https://hdl.handle.net/20.500.14279/1867
ISSN: 01692607
DOI: 10.1016/0169-2607(94)01529-O
Rights: © Elsevier
Type: Article
Affiliation: University of Cyprus 
Affiliation : University of Cyprus 
University College London 
Hospital for Sick Children Research Institute 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

9
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 20

464
Last Week
0
Last month
1
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.