Decision support in acute abdominal pain using an expert system for different knowledge bases

Author

Eich, H.-P. ; Ohmann, C. ; Lang, K.

Author_Institution

Dept. of Gen. & Trauma Surg., Dusseldorf Univ., Germany

fYear

1997

fDate

11-13 Jun 1997

Firstpage

2

Lastpage

7

Abstract

This paper describes a knowledge-based system for the diagnosis of acute abdominal pain, in which scores and rule sets are integrated. The system is linked to a documentation program via a medical data dictionary and allows an on-line application of knowledge modules to clinical data. Different rule sets were generated by automatic rule generation (C4.5) from a prospective database. The rule sets and two published diagnostic scores were evaluated on a test set, resulting in a diagnostic accuracy of 57% for a general knowledge module and between 44 and 88% for specific knowledge modules. The program is fully functioning and has been evaluated carefully in 14 German hospitals

Keywords

decision support systems; knowledge based systems; medical expert systems; acute abdominal pain; automatic rule generation; clinical data; decision support system; diagnostic scores; documentation program; expert system; general knowledge module; knowledge bases; knowledge modules; knowledge-based system; medical data dictionary; rule sets; Abdomen; Databases; Diagnostic expert systems; Dictionaries; Documentation; Expert systems; Knowledge based systems; Medical diagnostic imaging; Medical expert systems; Pain;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems., 1997. Proceedings., Tenth IEEE Symposium on

Conference_Location

Maribor

ISSN

1063-7125

Print_ISBN

0-8186-7928-X

Type

conf

DOI

10.1109/CBMS.1997.596400

Filename

596400