Designing an experimental expert system for lung tuberculosis diagnostics using fuzzy set theory

Author

Phuong, Nguyen Hoang ; Hung, Dang Huu ; Tuan, Do Trung ; CO, Nguyen Viet ; Duong, Bui Duc ; Thinh, Pham Tien ; Hoa, Nguyen Phuong ; Linh, Nguyen Nhat

Author_Institution

Inst. of Inf. Technol., Nat. Center for Natural Sci. & Technol., Hanoi, Viet Nam

Volume

2

fYear

1998

fDate

11-14 Oct 1998

Firstpage

1587

Abstract

This paper describes a diagnosis system for tuberculosis called TUBERDIAG which is able to combine positive and negative knowledge. The knowledge base of the system consists of a set of IF-THEN rules for diagnosis of tuberculosis where each rule assigns its weight in [0,1]. The inference machine will produce the final diagnosis as a total degree of confirmation and exclusion of tuberculosis diagnosis. This paper focuses on a description of the structure of TUBERDIAG. The system is developed in cooperation with doctors at the National Institute of Tuberculosis and Lung Disease, Hanoi. The system is written in Borland Delphi 2.0 programming language for Windows 95 and can run on PCs

Keywords

diagnostic reasoning; fuzzy set theory; lung; medical diagnostic computing; medical expert systems; Borland Delphi; IF-THEN rules; TUBERDIAG; Windows 95; experimental expert system; fuzzy set theory; inference; knowledge base; lung tuberculosis diagnostics; medical diagnosis expert system; negative knowledge; personal computer; positive knowledge; programming language; Computer languages; Decision making; Diagnostic expert systems; Diseases; Fuzzy set theory; Information technology; Lungs; Medical diagnostic imaging; Medical expert systems; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.728114

Filename

728114