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.
['Jernej Zavrsnik', 'Kurt Kancler', 'Anton Zidanik', 'Martin Bigec', 'Peter Kokol']
Deciding about syndromes with SYNFIN