Medical reasoning by causal simulation

Author

Fu, Li-Miu

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1825

Abstract

A rule-based causal simulation system named CAUSIM is described. It offers two kinds of simulation: backward simulation and forward simulation. Backward simulation is used to infer the behavior of specific attributes, whereas forward simulation is taken to arrive at possible overall scenarios. In addition, CAUSIM invokes constraint rules that describe incompatible behavior and values among related variable before applying simulation rules in order to obviate the inconsistencies between the simulation result and existing facts. The advantage of CAUSIM over other approaches lies in the capability of performing both qualitative and quantitative causal simulation in an integrated framework that handles the temporal issue

Keywords

expert systems; medical computing; backward simulation; clinical expert system; constraint rules; forward simulation; integrated framework; rule-based causal simulation system; Computational modeling; Databases; Delay effects; Diseases; Marine vehicles; Medical diagnostic imaging; Medical simulation; Medical treatment; Predictive models; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96485

Filename

96485