Author/Editor		Zupan, B; Halter, JA; Bohanec, M
Title		Computer assisted reasoning on principles and properties of medical physiology
Type		članek
Source		In: Lavrač N, editor. CADAM-95. Zbornik Računalniška analiza medicinskih podatkov; 1995 nov 27-28; Bled. Ljubljana: Inštitut Jožef Štefan,
Publication year		1995
Volume		str. 258-71
Language		eng
Abstract		Developing practical tools to aid in understanding medical physiological systems is a formidable undertaking. This paper presents a method that uses a property structure for the domain being investigated. Furthermore, it employs realistic models to present examples of the behavior of the system. From these examples the principles that relate the properties are inferred through the use of genetic algorithm-based machine learning. The principles are expressed as qualitative rules that derive the values of the properties. The structured approach and the qualitative representation of principles provide a simplified means to reason about the roles of properties and meaning of principles of the physiological system being investigated.
Descriptors		DECISION SUPPORT TECHNIQUES STRUCTURE-ACTIVITY RELATIONSHIP ARTIFICIAL INTELLIGENCE