Author/Editor		Kokol, Peter; Podgorelec, Vili; Malčič, Ivan
Title		Diagnostic process optimisation with evolutionary programming
Type		članek
Source		In: Proceedings of the 11th IEEE symposium on computer-based medical systems; 1998 Jun 12-14; Lunnock, Texas. Los Alamitos: IEEE computer society,
Publication year		1998
Volume		str. 62-7
Language		eng
Abstract		In paediatric cardilogy a database and the supporting information system are indispensable in order to conduct more extensive and detailed investigations. Diagnostic decisions during the diagnostic process in congenital heart disease (CHD) must be supported by suitable decision support system. In the majority of children with CHD, the diagnosis should be possiby made before the complete diagnosis procedure has been accomplished, with maximal information (possible probability of correct diagnosis 1.00) and minimal risk for patient and doctor (the minimal needed number of steps, especially for high invasive methods) and cost benefit. We developed a tool called DIAPRO that supports all activities concerned with the management of the diagnosis process and the management of the medical records database, but its main strength is in the decision making support concerning the optimisation of the diagnostic process. It enables the paediatrician to perform cardiological examination in maximally rationalised manner.
Descriptors		DIAGNOSIS, COMPUTER-ASSISTED DECISION MAKING, COMPUTER-ASSISTED HEART DEFECTS, CONGENITAL CHILD DECISION SUPPORT TECHNIQUES