1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1867
DC FieldValueLanguage
dc.contributor.authorDams, F.-
dc.contributor.authorWashbrook, John-
dc.contributor.authorKeravnou-Papailiou, Elpida-
dc.date.accessioned2013-02-14T11:40:28Zen
dc.date.accessioned2013-05-17T05:22:09Z-
dc.date.accessioned2015-12-02T09:50:37Z-
dc.date.available2013-02-14T11:40:28Zen
dc.date.available2013-05-17T05:22:09Z-
dc.date.available2015-12-02T09:50:37Z-
dc.date.issued1994-12-
dc.identifier.citationComputer methods and programs in biomedicine, 1994, vol. 45, no. 4, pp. 239–260en_US
dc.identifier.issn01692607-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1867-
dc.description.abstractThe 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 systemsen_US
dc.language.isoenen_US
dc.relation.ispartofComputer Methods and Programs in Biomedicineen_US
dc.rights© Elsevieren_US
dc.subjectComputer scienceen_US
dc.subjectExpert systems (Computer science)en_US
dc.subjectBiomedicineen_US
dc.subjectDiagnosisen_US
dc.titleModelling diagnostic skills in the domain of skeletal dysplasiasen_US
dc.typeArticleen_US
dc.affiliationUniversity of Cyprusen
dc.collaborationUniversity of Cyprusen_US
dc.collaborationUniversity College Londonen_US
dc.collaborationHospital for Sick Children Research Instituteen_US
dc.journalsHybrid Open Accessen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/0169-2607(94)01529-Oen_US
dc.dept.handle123456789/54en
dc.relation.issue4en_US
dc.relation.volume45en_US
cut.common.academicyear2020-2021en_US
dc.identifier.spage239en_US
dc.identifier.epage260en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.journal.journalissn0169-2607-
crisitem.journal.publisherElsevier-
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