Formalization of treatment guidelines using fuzzy cognitive maps and semantic web tools

dc.contributor.author	Παπαγεωργίου, Ελπινίκη Ι.	el
dc.contributor.author	De Roo, Jos	en
dc.contributor.author	Huszka, Csaba	en
dc.contributor.author	Colaert, Dirk	en
dc.date.accessioned	2015-05-24T12:21:29Z
dc.date.available	2015-05-24T12:21:29Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11036
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/S1532046411001456	en
dc.subject	Treatment management
dc.subject	Semantic Web
dc.subject	Διαχείριση θεραπείας
dc.subject	Σημασιολογικός ιστός
dc.title	Formalization of treatment guidelines using fuzzy cognitive maps and semantic web tools	en
heal.type	journalArticle
heal.classification	Computer science
heal.classification	Computer programming
heal.classification	Πληροφορική
heal.classification	Προγραμματισμός
heal.classificationURI	http://data.seab.gr/concepts/77de68daecd823babbb58edb1c8e14d7106e83bb
heal.classificationURI	http://skos.um.es/unescothes/C00749
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Προγραμματισμός
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2002000569
heal.identifier.secondary	doi:10.1016/j.jbi.2011.08.018
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2012
heal.bibliographicCitation	Papageorgiou, E., De Roo, J., Huszka, C. and Colaert, D. (February 2012). Formalization of treatment guidelines using fuzzy cognitive maps and semantic web tools. Journal of Biomedical Informatics. 45(1). pp. 45-60. Elsevier Inc: 2012. Available from: http://www.sciencedirect.com/science/article/pii/S1532046411001456 [Accessed 01/09/2011]	en
heal.abstract	Therapy decision making and support in medicine deals with uncertainty and needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician and guidelines to recommend a treatment therapy. This research study is focused on the formalization of medical knowledge using a cognitive process, called Fuzzy Cognitive Maps (FCMs) and semantic web approach. The FCM technique is capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. Thus, it was selected for the case of modeling and knowledge integration of clinical practice guidelines. The semantic web tools were established to implement the FCM approach. The knowledge base was constructed from the clinical guidelines as the form of if-then fuzzy rules. These fuzzy rules were transferred to FCM modeling technique and, through the semantic web tools, the whole formalization was accomplished. The problem of urinary tract infection (UTI) in adult community was examined for the proposed approach. Forty-seven clinical concepts and eight therapy concepts were identified for the antibiotic treatment therapy problem of UTIs. A preliminary pilot-evaluation study with 55 patient cases showed interesting findings; 91% of the antibiotic treatments proposed by the implemented approach were in fully agreement with the guidelines and physicians’ opinions. The results have shown that the suggested approach formalizes medical knowledge efficiently and gives a front-end decision on antibiotics’ suggestion for cystitis. Concluding, modeling medical knowledge/therapeutic guidelines using cognitive methods and web semantic tools is both reliable and useful.	en
heal.publisher	Elsevier Inc	en
heal.journalName	Journal of Biomedical Informatics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true