Diagnostic reasoning based on a human mathematical model

Author

Hua, Zhichm ; Ye, Cheugqing ; Lu, WeiXue

Author_Institution

Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

1997

fDate

28-31 Oct 1997

Firstpage

1487

Abstract

Mathematical models play an important role in the study of the human physiological system, and they are widely used in system simulation. However, little research has been done on applying mathematical models to quantitative reasoning. The authors constructed an object oriented and data-driven intelligent knowledge base (IKB) from a human mathematical model. It can perform intelligent operations such as incomplete computation and equation solution. A diagnostic reasoning strategy based on this IKB is introduced. An implemented quantitative reasoning system called QNREASON is also presented. The definite reasoning result of an experiment shows that quantitative reasoning can make full use of the digital computer´s significant advantages in numerical computation

Keywords

diagnostic reasoning; knowledge based systems; modelling; object-oriented programming; physiological models; QNREASON; data-driven intelligent knowledge base; diagnostic reasoning; digital computer; equation solution; human mathematical model; human physiological system; incomplete computation; intelligent operations; numerical computation; object oriented intelligent knowledge base; quantitative reasoning; system simulation; Biological system modeling; Biomedical computing; Computational modeling; Computer science; Differential equations; Equations; Humans; Inverse problems; Mathematical model; Object oriented modeling; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.669271

Filename

669271