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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 4
  3. International Journal of Machine Learning and Cybernetics : Volume 4, Issue 5, October 2013
  4. A fuzzy taxonomy for e-Health projects
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 6, December 2013
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 5, October 2013
Bisociation networks analysis for business process
Dominance-based decision rule induction for multicriteria ranking
On rough approximations of groups
Rough sets and topological spaces based on similarity
Independence of axiom sets characterizing formal concepts
Fast learning complex-valued classifiers for real-valued classification problems
On knowledge acquisition in multi-scale decision systems
A fuzzy taxonomy for e-Health projects
Independence of axiom sets on intuitionistic fuzzy rough approximation operators
Concealing party-centric sensitive rules in a centralized data source
Adaptive fuzzy modular backstepping output feedback control of uncertain nonlinear systems in the presence of input saturation
Efficient matching of very complex time series
An auto-adaptive convex map generating path-finding algorithm: Genetic Convex A$^{*}$
Hyperrelations and generalized hypergraphs
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 4, August 2013
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 3, June 2013
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 2, April 2013
International Journal of Machine Learning and Cybernetics : Volume 4, Issue 1, February 2013
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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A fuzzy taxonomy for e-Health projects

Content Provider Springer Nature Link
Author D’Urso, Pierpaolo Giovanni, Livia Spagnoletti, Paolo
Copyright Year 2012
Abstract Evaluating the impact of Information Technology (IT) projects represents a problematic task for policy and decision makers aiming to define roadmaps based on previous experiences. Especially in the healthcare sector IT can support a wide range of processes and it is difficult to analyze in a comparative way the benefits and results of e-Health practices in order to define strategies and to assign priorities to potential investments. A first step towards the definition of an evaluation framework to compare e-Health initiatives consists in the definition of clusters of homogeneous projects that can be further analyzed through multiple case studies. However imprecision and subjectivity affect the classification of e-Health projects that are focused on multiple aspects of the complex healthcare system scenario. In this paper we apply a method, based on advanced cluster techniques and fuzzy theories, for validating a project taxonomy in the e-Health sector. An empirical test of the method has been performed over a set of European good practices in order to define a taxonomy for classifying e-Health projects.
Starting Page 487
Ending Page 504
Page Count 18
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 4
Issue Number 5
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2012-07-07
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword e-Health Healthcare Fuzzy clustering Imprecise evaluation scales Soft taxonomy Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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