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

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	Similar Articles Articles by H.P. Eich Articles by C. Ohmann Articles by K. Lang

10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)

Maribor, SLOVENIA

March 11-March 13

ISBN: 0-8186-7928-X

	ASCII Text	x
	H.P. Eich, C. Ohmann, K. Lang, "Decision support in acute abdominal pain using an expert system for different knowledge bases," Computer-Based Medical Systems, IEEE Symposium on, pp. 2, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997.

	BibTex	x
	@article{ 10.1109/CBMS.1997.596400, author = {H.P. Eich and C. Ohmann and K. Lang}, title = {Decision support in acute abdominal pain using an expert system for different knowledge bases}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {1997}, issn = {1063-7125}, pages = {2}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596400}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Decision support in acute abdominal pain using an expert system for different knowledge bases SN - 1063-7125 SP EP A1 - H.P. Eich, A1 - C. Ohmann, A1 - K. Lang, PY - 1997 KW - decision support systems; decision support system; acute abdominal pain; expert system; knowledge bases; knowledge-based system; rule sets; documentation program; medical data dictionary; knowledge modules; clinical data; automatic rule generation; diagnostic scores; general knowledge module VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

H.P. Eich, Dept. of Gen. & Trauma Surg., Dusseldorf Univ., Germany

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

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596400

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.

Index Terms:

decision support systems; decision support system; acute abdominal pain; expert system; knowledge bases; knowledge-based system; rule sets; documentation program; medical data dictionary; knowledge modules; clinical data; automatic rule generation; diagnostic scores; general knowledge module

Citation:

H.P. Eich, C. Ohmann, K. Lang, "Decision support in acute abdominal pain using an expert system for different knowledge bases," cbms, pp.2, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997

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