Diagnosis support system based on clinical guidelines

dc.contributor.author	Douali, Nassim	en
dc.contributor.author	Csaba, Huszka	el
dc.contributor.author	De Roo, Jos	en
dc.contributor.author	Παπαγεωργίου, Ελπινίκη Ι.	el
dc.contributor.author	Jaulent, Marie-Christine	el
dc.date.accessioned	2015-06-05T15:26:29Z
dc.date.issued	2015-06-05
dc.identifier.uri	http://hdl.handle.net/11400/15138
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.elsevier.com/	en
dc.subject	Υπόθεση με βάση ασαφή γνωστικά δίκτυα
dc.subject	Δίκτυο Bayesian
dc.subject	Σύστημα υποστήριξης αποφάσεων
dc.subject	Αναπαράσταση γνώσης
dc.subject	Σημασιολογικός Ιστός
dc.subject	Πρακτική κατευθυντήρια γραμμή
dc.subject	Case based fuzzy cognitive maps
dc.subject	Bayesian network
dc.subject	Decision support system
dc.subject	Knowledge representation
dc.subject	Semantic web
dc.subject	Practice guideline
dc.title	Diagnosis support system based on clinical guidelines	en
heal.type	journalArticle
heal.secondaryTitle	comparison between case-based fuzzy cognitive maps and Bayesian networks	en
heal.classification	Computer science
heal.classification	Computer programming
heal.classification	Πληροφορική
heal.classification	Προγραμματισμός
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C00749
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Προγραμματισμός
heal.identifier.secondary	doi.10.1016/j.cmpb.2013.09.012
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Tμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2014-01
heal.bibliographicCitation	Douali, N., Csaba, H., De Roo, J., Papageorgiou, E.I. and Jaulent M.C. (2014) Diagnosis support system based on clinical guidelines: comparison between case-based fuzzy cognitive maps and Bayesian networks. Computer methods and programs in biomedicine, 113 (1). pp.133-143.	en
heal.abstract	Several studies have described the prevalence and severity of diagnostic errors. Diagnostic errors can arise from cognitive, training, educational and other issues. Examples of cognitive issues include flawed reasoning, incomplete knowledge, faulty information gathering or interpretation, and inappropriate use of decision-making heuristics. We describe a new approach, case-based fuzzy cognitive maps, for medical diagnosis and evaluate it by comparison with Bayesian belief networks. We created a semantic web framework that supports the two reasoning methods. We used database of 174 anonymous patients from several European hospitals: 80 of the patients were female and 94 male with an average age 45 ± 16 (average ± stdev). Thirty of the 80 female patients were pregnant. For each patient, signs/symptoms/observables/age/sex were taken into account by the system. We used a statistical approach to compare the two methods.	en
heal.publisher	Elsevier	en
heal.journalName	Computer methods and programs in biomedicine	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false