DocumentCode :
1875243
Title :
Application of intuitionistic fuzzy sets for more objective comparison of Kaplan-Meier curves
Author :
Todorova, Ludmila ; Vassilev, Peter ; Hadjistoykov, Peter ; Surchev, Jivko
Author_Institution :
Inst. of Biophys. & Biomed. Eng., Sofia, Bulgaria
fYear :
2012
fDate :
6-8 Sept. 2012
Firstpage :
212
Lastpage :
215
Abstract :
In the present work a scheme for more objective comparison of patients, represented by Kaplan-Meier graphs, by classification separating them in groups (m in number) with "graded survivability" is proposed. The classification uses the apparatus of the intuitionistic fuzzy sets (IFS). The final result is a clear and easy to interpret table. To avoid loss of information, as well as for the obtainment of graded, sound and real evaluation of the information, contained in the Kaplan-Meier graphs the authors recommend the consideration of all possible cases, for which it is fulfilled n<;m, where n is the number of the patient groups, represented by Kaplan-Meier survivability curves. A particular case from the neurosurgical practice is considered and analyzed. The obtained results are confirmed in practice and in the scientific literature.
Keywords :
data analysis; fuzzy set theory; graph theory; medical computing; neurophysiology; pattern classification; surgery; IFS; Kaplan-Meier graph; Kaplan-Meier survivability curve; graded evaluation; graded survivability; information loss; intuitionistic fuzzy sets; neurosurgical practice; patient classification; patient groups; patient objective comparison; sound evaluation; Educational institutions; Fuzzy sets; Guidelines; Neurosurgery; Pediatrics; Ventilation; Intuitionistic Fuzzy Set; Kaplan-Meier survival curves; Shunt complications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (IS), 2012 6th IEEE International Conference
Conference_Location :
Sofia
Print_ISBN :
978-1-4673-2276-8
Type :
conf
DOI :
10.1109/IS.2012.6335218
Filename :
6335218
Link To Document :
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