Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine (Contributo in atti di convegno)

Type

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

Label

• Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

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

• 10.1109/HIS.2012.6421383 (literal)

Alternative label

• Marco Pota, Massimo Esposito, Giuseppe De Pietro (2012)
  Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine
  in Hybrid Intelligent Systems (HIS), 2012 12th International Conference on, Pune, India, 4-7 Dec. 2012
  (literal)

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

• Marco Pota, Massimo Esposito, Giuseppe De Pietro (literal)

Pagina inizio

• 490 (literal)

Pagina fine

• 495 (literal)

Note

• ISI Web of Science (WOS) (literal)

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

• ICAR-CNR, ICAR-CNR, ICAR-CNR (literal)

Titolo

• Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine (literal)

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

• 978-1-4673-5115-7 (literal)

Abstract

• Fuzzy-based Decision Support Systems (DSSs) have gained increasing importance in medicine, since they rely on a transparent and interpretable rule base. A very attractive feature for these systems is to present their results as a set of plausible conclusions, each of them associated with a degree of possibility. In order to face this need, this work proposes a novel approach consisting in hybridization of possibility theory and a classical fuzzy clustering method, based on a distance metric interpretable in a probabilistic framework, with the final aim of determining both fuzzy rules and partitions. As a proof of concept, the method has been applied to a real-life application pertaining the classification of Multiple Sclerosis Lesions. Finally, some sophistications are proposed for a future refinement, in order to improve the quality of results and the generality of applications. (literal)

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)
• GIUSEPPE DE PIETRO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine" (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

• GIUSEPPE DE PIETRO (Unità di personale interno)
• MASSIMO ESPOSITO (Persona)

Insieme di parole chiave di

• Keywords of "Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine" (Insieme di parole chiave)