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Author Papageorgiou, E.I. ♦ Papandrianos, N.I. ♦ Karagianni, G. ♦ Kyriazopoulos, G.C. ♦ Sfyras, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy cognitive maps ♦ Diseases ♦ Medical diagnostic imaging ♦ Decision making ♦ Artificial intelligence ♦ Medical diagnosis ♦ Lungs ♦ Decision support systems ♦ Fuzzy logic ♦ Uncertainty
Abstract The prediction of pulmonary infections in intensive care unit is a complex medical task where a large number of parameters, tests, clinical symptoms and laboratory results are present. The knowledge of physicians according to the physical examination and clinical measurements are the main point to succeed a diagnosis and monitoring patient status. This paper presents the results of our investigation of the problem of representing knowledge for medical diagnosis systems concentrated on the pulmonary infections. The main topic of the presented effort is the representation of the cause-effect relationships within medical data by the application of the soft computing technique of fuzzy cognitive maps. The fuzzy cognitive map is a knowledge based technique for modeling and representing experts' knowledge. It can handle efficiently with complex modeling problems to assess medical decision making tasks. Due to its easy graphical representation the proposed FCM can be used to make the medical knowledge widely available through computer consultation systems.
Description Author affiliation: Department of Informatics and Computer Technology, Technological Educational Institute of Lamia, Lamia 35100, GREECE (Papageorgiou, E.I.) || Dept of Intensive Care Unit, General Hospital of Lamia, Lamia 35100, Greece (Karagianni, G.; Kyriazopoulos, G.C.; Sfyras, D.) || Dept. of Nuclear Medicine, University Hospital of Patras, University Campus of Rion-Patras, 26504 GREECE (Papandrianos, N.I.)
ISBN 9781424435968
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-08-20
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 632.12 kB
Page Count 6
Starting Page 2094
Ending Page 2099


Source: IEEE Xplore Digital Library