NDLI: A new expert system for evaluating cardiosurgical patients in intensive care units: preliminary validation

Content Provider	IEEE Xplore Digital Library
Author	Artioli, E. Avanzolini, G. Martelli, L. Ursino, M.
Copyright Year	1994
Description	Author affiliation: Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy (Artioli, E.)
Abstract	A new expert system for the analysis of cardiosurgical patients in Intensive Care Units (ICUs) is described and preliminary validations performed. The system employs a hybrid inference engine. Which integrates both quantitative and qualitative reasoning in an original way. Causal knowledge of the main relationships among hemodynamic, metabolic and respiratory quantities is used to make predictions about the patient status starting from the value of a few quantities monitored in ICUs. Examples concerning six real patients are presented and discussed. In all cases, results of the expert systems substantially agree with those previously obtained using more traditional statistical classification techniques. As an essential improvement, the expert system also provides information on deep physiological quantities and causal relationships which may affect the patient status.
Starting Page	1378
Ending Page	1379
File Size	212064
Page Count	2
File Format	PDF
ISBN	0780320506
DOI	10.1109/IEMBS.1994.415481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Expert systems Cardiology Biomedical monitoring Engines Hemodynamics Patient monitoring Equations Filling Computer science Performance analysis
Content Type	Text
Resource Type	Article

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