http://www.cnr.it/ontology/cnr/individuo/prodotto/ID299062
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
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- Minutolo, Aniello; Esposito, Massimo; De Pietro, Giuseppe (literal)
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- Wireless Mobile Communication and Healthcare (literal)
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- Titolo
- A fuzzy decision support language for building mobile DSSs for healthcare applications (literal)
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- 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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