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https://hdl.handle.net/20.500.14279/1867
Τίτλος: | Modelling diagnostic skills in the domain of skeletal dysplasias | Συγγραφείς: | Dams, F. Washbrook, John Keravnou-Papailiou, Elpida |
Major Field of Science: | Medical and Health Sciences | Λέξεις-κλειδιά: | Computer science;Expert systems (Computer science);Biomedicine;Diagnosis | Ημερομηνία Έκδοσης: | Δεκ-1994 | Πηγή: | Computer methods and programs in biomedicine, 1994, vol. 45, no. 4, pp. 239–260 | Volume: | 45 | Issue: | 4 | Start page: | 239 | End page: | 260 | Περιοδικό: | Computer Methods and Programs in Biomedicine | Περίληψη: | 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 |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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