A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/978-1-4614-3535-8 (literal)

Alternative label

• Massimo Esposito, Domenico Maisto (2013)
  A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines
  in International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2011), 3-12 December 2011
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Massimo Esposito, Domenico Maisto (literal)

Pagina inizio

• 545 (literal)

Pagina fine

• 557 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://link.springer.com/chapter/10.1007/978-1-4614-3535-8_46 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Innovations and Advances in Computer, Information, Systems Sciences, and Engineering (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 152 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 13 (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR-CNR, ICAR-CNR (literal)

Titolo

• A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4614-3534-1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

• Khaled Elleithy, Tarek Sobh (literal)

Abstract

• The increase of expert knowledge is characterizing medical domain and determining a constantly growing and interacting number of relevant standardized specifications for care known as clinical guidelines. However, most clinical guidelines, especially when expressed in the form of condition-action recommendations, embody different kinds of structural errors that compromise their effectiveness. With this respect, this paper presents a framework to represent condition-action clinical recommendations as \"IF-THEN\" fuzzy rules and to verify the presence of some structural anomalies. In particular, we propose a method to detect redundancy, inconsistency and contradictoriness--a structural anomaly introduced in this paper for the first time--in a very simple and understandable way by using the concept of similarity between antecedents and consequents. Formalization in fuzzy degrees for these anomalies can be straightly interpretable as measurements suggesting how to suitably modify the clinical rules to eliminate or mitigate undesired effects. The framework has been assessed on a relevant sample set identified from the clinical literature with profitable results. (literal)

Editore

• Springer New York (Editore)

Prodotto di

• Metodologie e tecniche ICT per l'e-health (INT.P02.014.001) (Modulo)
• Istituto di calcolo e reti ad alte prestazioni (ICAR) (Istituto)

Autore CNR

• MASSIMO ESPOSITO (Persona)
• DOMENICO MAISTO (Persona)

Insieme di parole chiave

• Parole chiave di "A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di calcolo e reti ad alte prestazioni (ICAR) (Istituto)
• Metodologie e tecniche ICT per l'e-health (INT.P02.014.001) (Modulo)

Autore CNR di

• MASSIMO ESPOSITO (Persona)
• DOMENICO MAISTO (Persona)

Editore di

• Springer New York (Editore)

Insieme di parole chiave di

• Parole chiave di "A Framework for Verification of Fuzzy Rule Bases Representing Clinical Guidelines" (Insieme di parole chiave)