Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support

dc.contributor.author	Παπαγεωργίου, Ελπινίκη Ι.	el
dc.contributor.author	Huszka, Csaba	en
dc.contributor.author	De Roo, Jos	en
dc.contributor.author	Douali, Nassim	en
dc.contributor.author	Jaulent, Marie-Christine	en
dc.date.accessioned	2015-05-17T11:07:12Z
dc.date.available	2015-05-17T11:07:12Z
dc.date.issued	2015-05-17
dc.identifier.uri	http://hdl.handle.net/11400/10587
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.sciencedirect.com/science/article/pii/S0169260713002435	el
dc.subject	Knowledge representation
dc.subject	Decision support systems
dc.subject	Αναπαράσταση γνώσης
dc.subject	Bayesian networks
dc.subject	Bayesian δίκτυα
dc.subject	Fuzzy cognitive maps
dc.subject	Ασαφή γνωστικά
dc.subject	Απόφαση στήριξης
dc.title	Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support	en
heal.type	journalArticle
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.keywordURI	http://zbw.eu/stw/descriptor/29233-4
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh86006549
heal.contributorName	Colaert, Dirk	en
heal.identifier.secondary	doi:10.1016/j.cmpb.2013.07.008
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2013-12
heal.bibliographicCitation	Papageorgiou, E. I., Huszka, C., De Roo, J., Douali, N., Jaulent, M-C., et.al. (2013). Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support. "Computer Methods and Programs in Biomedicine", 112(3), December 2013. pp. 580-598. Available from: http://www.sciencedirect.com/science/article/pii/S0169260713002435. [Accessed 15/08/2013]	en
heal.abstract	This study aimed to focus on medical knowledge representation and reasoning using the probabilistic and fuzzy influence processes, implemented in the semantic web, for decision support tasks. Bayesian belief networks (BBNs) and fuzzy cognitive maps (FCMs), as dynamic influence graphs, were applied to handle the task of medical knowledge formalization for decision support. In order to perform reasoning on these knowledge models, a general purpose reasoning engine, EYE, with the necessary plug-ins was developed in the semantic web. The two formal approaches constitute the proposed decision support system (DSS) aiming to recognize the appropriate guidelines of a medical problem, and to propose easily understandable course of actions to guide the practitioners. The urinary tract infection (UTI) problem was selected as the proof-of-concept example to examine the proposed formalization techniques implemented in the semantic web. The medical guidelines for UTI treatment were formalized into BBN and FCM knowledge models. To assess the formal models’ performance, 55 patient cases were extracted from a database and analyzed. The results showed that the suggested approaches formalized medical knowledge efficiently in the semantic web, and gave a front-end decision on antibiotics’ suggestion for UTI.	en
heal.journalName	Computer Methods and Programs in Biomedicine	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true