DocumentCode :
316270
Title :
Rough set approach for data analysis of anthracycline-induced cardiotoxicity
Author :
Perez-llera, C. ; Fernandez-Garcia, C. ; Fernandez-Baizan, M.C. ; Feito-Garcia, J.L.
Author_Institution :
Dept. Inf., Oviedo Univ., Spain
Volume :
1
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
951
Abstract :
One of the complications in the treatment of anthracyclines is their cardiotoxicity. Factors influencing the cardiotoxicity are generally known but their significance is differently estimated by various authors. It is rarely considered however that the differences might be caused by distinct prophylactic routines in the center where the investigations are conducted. Thus it seems reasonable to examine the problem of anthracycline-induced cardiotoxicity with reference to a particular hospital (Hospital Central de Asturias, Oviedo-SPAIN). So far, although statistical methods are the most commonly applied methods for indicating connections between various factors of cardiac function from patients treated with anthracyclines, we propose to use rough sets techniques to extract the most significant factors
Keywords :
data analysis; medical computing; medicine; operations research; patient treatment; set theory; anthracyclines; cardiac function; cardiotoxicity; data analysis; data mining; hospital; rough sets; Cardiology; Data analysis; Data mining; Hospitals; Information systems; Medical treatment; Monitoring; RNA; Rough sets; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.626227
Filename :
626227
Link To Document :
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