Research Article
A Fuzzy Decision Support Language for Building Mobile DSSs for Healthcare Applications
@INPROCEEDINGS{10.1007/978-3-642-37893-5_30, author={Aniello Minutolo and Massimo Esposito and Giuseppe Pietro}, title={A Fuzzy Decision Support Language for Building Mobile DSSs for Healthcare Applications}, proceedings={Wireless Mobile Communication and Healthcare. Third International Conference, MobiHealth 2012, Paris, France, November 21-23, 2012, Revised Selected Papers}, proceedings_a={MOBIHEALTH}, year={2013}, month={4}, keywords={Decision Support Systems Fuzzy Logic Clinical Guidelines Mobile Computing XML technologies}, doi={10.1007/978-3-642-37893-5_30} }- Aniello Minutolo
Massimo Esposito
Giuseppe Pietro
Year: 2013
A Fuzzy Decision Support Language for Building Mobile DSSs for Healthcare Applications
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-37893-5_30
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.