Title :
Application of artificial intelligence for clinical decision making and reasoning
Author :
Mohamed, Abdalla S A
Author_Institution :
United Arab Emirates Univ., Al-Ain, United Arab Emirates
Abstract :
A unified induction learning algorithm is presented for clinical decision making. It depends on the rough set theory, and accepts the information system in tabular form. It deals with the uncertainty of clinical measurements and generates decision rules supported by reasoning. An example of successful application is given. The proposed inductive algorithm is particularly useful for reasoning from qualitative or imprecise data
Keywords :
decision support systems; health care; inference mechanisms; learning (artificial intelligence); set theory; uncertainty handling; artificial intelligence; clinical decision making; decision rules; induction learning algorithm; reasoning; uncertainty; Artificial intelligence; Blood pressure; Cardiac disease; Decision making; Helium; Learning; Medical diagnostic imaging; Set theory; Temperature; Tiles;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271647
