DocumentCode
2921101
Title
Fuzzy Cognitive Maps for Medical Decision Support — A paradigm from obstetrics
Author
Stylios, Chrysostomos S. ; Georgopoulos, Voula C.
Author_Institution
Dept. of Inf. & Telecommun. Technol., Technol. Educ. Inst. of Epirus, Artas, Greece
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
1174
Lastpage
1177
Abstract
Medical Decision Support Systems can provide assistance in crucial clinical judgments, particularly for inexperienced medical professionals. Fuzzy Cognitive Maps (FCMs) is a soft computing technique for modeling complex systems following an approach similar to human reasoning and decision-making. FCMs successfully represent knowledge and human experience, introducing concepts to represent the essential elements and the cause and effect relationships among the concepts to model the behavior of any system. Medical Decision Systems are complex systems that can be decomposed to subsystems and elements, where many factors have to be taken into consideration that may be complementary, contradictory, and competitive; these factors influence each other and determine the overall clinical decision with varying degrees. Here a Medical Decision Support System based on an appropriate FCM architecture is proposed and developed, as well as a corresponding paradigm from obstetrics is described.
Keywords
cognitive systems; decision support systems; fuzzy set theory; medical computing; obstetrics; complex systems modeling; decision-making; fuzzy cognitive maps; human reasoning; medical decision support; obstetrics; soft computing technique; Biomedical monitoring; Cognition; Decision support systems; Fetal heart rate; Fuzzy cognitive maps; Humans; Medical diagnostic imaging; Algorithms; Decision Support Systems, Clinical; Expert Systems; Female; Fuzzy Logic; Greece; Humans; Obstetrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626239
Filename
5626239
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