A fuzzy decision support language for building mobile DSSs for healthcare applications (Contributo in atti di convegno)

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Label
  • A fuzzy decision support language for building mobile DSSs for healthcare applications (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-37893-5_30 (literal)
Alternative label
  • Minutolo, Aniello; Esposito, Massimo; De Pietro, Giuseppe (2013)
    A fuzzy decision support language for building mobile DSSs for healthcare applications
    in Third International Conference, MobiHealth 2012, Paris, France, 21-23/11/ 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Minutolo, Aniello; Esposito, Massimo; De Pietro, Giuseppe (literal)
Pagina inizio
  • 263 (literal)
Pagina fine
  • 270 (literal)
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  • http://www.scopus.com/record/display.url?eid=2-s2.0-84897585698&origin=inward (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Wireless Mobile Communication and Healthcare (literal)
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  • 61 (literal)
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  • 61 (literal)
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  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
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Titolo
  • A fuzzy decision support language for building mobile DSSs for healthcare applications (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9783642378928 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Balwant Godara, Konstantina S. Nikita (literal)
Abstract
  • Recently, Fuzzy Logic has been proposed as the most suitable approach for profitably tackling uncertainty and vagueness in clinical guidelines, and providing a new mobile generation of Decision Support Systems. This paper presents an intuitive XML-based language, named Fuzzy Decision Support Language, for both configuring a fuzzy inference system and encoding fuzzy medical knowledge to be embedded into a mobile DSS. Such a language enables the encoding of: i) fuzzy medical knowledge, in terms of groups of positive evidence rules and fuzzy ELSE rules assembling all the negative evidence for a specific situation; ii) input and output data, respectively elaborated or produced by the fuzzy DSS, in order to provide meaningful and semantically well-defined advices. As a proof of concept, the proposed language has been applied to encode, into a mobile DSS, the medical knowledge required to remotely detect suspicious situations of sleep apnea or heart failure in patients affected by cardiovascular diseases. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2013. (literal)
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