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