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https://hdl.handle.net/20.500.14279/1867| Πεδίο DC | Τιμή | Γλώσσα |
|---|---|---|
| dc.contributor.author | Dams, F. | - |
| dc.contributor.author | Washbrook, John | - |
| dc.contributor.author | Keravnou-Papailiou, Elpida | - |
| dc.date.accessioned | 2013-02-14T11:40:28Z | en |
| dc.date.accessioned | 2013-05-17T05:22:09Z | - |
| dc.date.accessioned | 2015-12-02T09:50:37Z | - |
| dc.date.available | 2013-02-14T11:40:28Z | en |
| dc.date.available | 2013-05-17T05:22:09Z | - |
| dc.date.available | 2015-12-02T09:50:37Z | - |
| dc.date.issued | 1994-12 | - |
| dc.identifier.citation | Computer methods and programs in biomedicine, 1994, vol. 45, no. 4, pp. 239–260 | en_US |
| dc.identifier.issn | 01692607 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14279/1867 | - |
| dc.description.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 | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Computer Methods and Programs in Biomedicine | en_US |
| dc.rights | © Elsevier | en_US |
| dc.subject | Computer science | en_US |
| dc.subject | Expert systems (Computer science) | en_US |
| dc.subject | Biomedicine | en_US |
| dc.subject | Diagnosis | en_US |
| dc.title | Modelling diagnostic skills in the domain of skeletal dysplasias | en_US |
| dc.type | Article | en_US |
| dc.affiliation | University of Cyprus | en |
| dc.collaboration | University of Cyprus | en_US |
| dc.collaboration | University College London | en_US |
| dc.collaboration | Hospital for Sick Children Research Institute | en_US |
| dc.journals | Hybrid Open Access | en_US |
| dc.country | Cyprus | en_US |
| dc.country | United Kingdom | en_US |
| dc.subject.field | Medical and Health Sciences | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.identifier.doi | 10.1016/0169-2607(94)01529-O | en_US |
| dc.dept.handle | 123456789/54 | en |
| dc.relation.issue | 4 | en_US |
| dc.relation.volume | 45 | en_US |
| cut.common.academicyear | 2020-2021 | en_US |
| dc.identifier.spage | 239 | en_US |
| dc.identifier.epage | 260 | en_US |
| item.fulltext | No Fulltext | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | none | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | article | - |
| crisitem.journal.journalissn | 0169-2607 | - |
| crisitem.journal.publisher | Elsevier | - |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles | |
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