Paper Info
Title
Personalized decision support system based on clinical practice guidelines.
Abstract
Personalized medicine is a broad and rapidly advancing field of health care that is informed by each person's unique clinical, genetic, genomic, and environmental information. Health care that embraces personalized medicine is an integrated, coordinated, evidence based approach to individualizing patient care across the continuum. It is very important to make the right treatment decision but before that to obtain a good diagnosis. There are several clinical forms of disease whose symptoms vary depending on the age and etiology. In this study, we investigated and evaluated a model framework, for personalized diagnostic decisions, based on Case Based Fuzzy Cognitive Map (CBFCM, a cognitive process applying the main features of fuzzy logic and neural processors to situations involving imprecision and uncertain descriptions, in a similar way to intuitive human reasoning. We explored the use of this method for modelling clinical practice guidelines.
Year
DOI
Venue
2015
10.3233/978-1-61499-516-6-308
Studies in Health Technology and Informatics
Keywords
Field
DocType
Fuzzy Cognitive Maps,Decision Making,Notation3,Artificial Intelligence,Decision Support Systems,Knowledge Representation,personalized medicine,practice guidelines
Decision support system,Clinical Practice,Knowledge management,Clinical decision support system,Medicine
Conference
Volume
ISSN
Citations 
211
0926-9630
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Nassim Douali1264.38
Jos De Roo200.34
Pauline Sweetman300.34
Elpiniki I Papageorgiou400.34
Jullien Dollon500.34
Marie-Christine Jaulent637568.72