Title :
Intelligent analysis of long-term patient survival after pacemaker implantation
Author :
Povalej, P. ; Krizmaric, M. ; Kokol, P. ; Pehnec, Z.
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ.
Abstract :
In the recent years intelligent systems proved to be a useful and successful tool which has often been used for decision support, data mining and knowledge discovery in medicine. Data mining and knowledge discovery enable to prove existing hypothesis or to generate new ones - thus they in longer term support the advancement of medicine as a scientific discipline and as a consequence developing new treatment, prediction and diagnosing methods directly helping clinicians. In this paper we present the results of intelligent data analysis used for determining important factors for long-term patient´s survival after pacemaker implantation. The study included 2207 patients which had their first pacemaker implantation during 1966 and 2001 in Slovenia
Keywords :
cardiology; data analysis; data mining; decision support systems; medical diagnostic computing; pacemakers; trees (mathematics); data mining; decision support system; decision trees; intelligent data analysis; intelligent system; knowledge discovery; long-term patient survival factors; pacemaker implantation; patient diagnosing method; Computer science; Data analysis; Data mining; Databases; Decision trees; Educational institutions; Medical diagnostic imaging; Medical treatment; Neural networks; Pacemakers;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588084