DocumentCode :
2006456
Title :
Deciding about syndromes with SYNFIN
Author :
Zavrsnik, J. ; Kancler, K. ; Zidanik, A. ; Bigec, M. ; Kokol, P.
Author_Institution :
Health Centre Dr. Adolf Drolc, Maribor, Slovenia
fYear :
1996
fDate :
17-18 Jun 1996
Firstpage :
83
Lastpage :
86
Abstract :
It has become evident that decision support systems play a very important role in medical decision making, particularly in those where decision must be made effectively and reliably. A syndrome is a combination of signs and/or symptoms that forms a distinct clinical picture indicative of a particular disorder. Here, the authors present a decision support system based on decision tree concept and automated learning which help medical personnel deciding about syndromes on a base of anomalies
Keywords :
decision support systems; medical computing; unsupervised learning; SYNFIN; automated learning; clinical symptoms; decision tree concept; distinct clinical picture; effective reliable decision; medical decision support systems; medical personnel assistance; medical signs; Anatomy; Classification tree analysis; Decision making; Decision support systems; Decision trees; Diseases; Humans; Medical diagnostic imaging; Pediatrics; Physiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 1996., Proceedings Ninth IEEE Symposium on
Conference_Location :
Ann Arbor, MI
ISSN :
1063-7125
Print_ISBN :
0-8186-7441-5
Type :
conf
DOI :
10.1109/CBMS.1996.507131
Filename :
507131
Link To Document :
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