DocumentCode :
2394575
Title :
A new expert system for evaluating cardiosurgical patients in intensive care units: preliminary validation
Author :
Artioli, Enrico ; Avanzolini, Guido ; Martelli, Luca ; Ursino, Mauro
Author_Institution :
Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy
fYear :
1994
fDate :
1994
Firstpage :
1378
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
Keywords :
common-sense reasoning; cardiosurgical patients evaluation; causal knowledge; causal relationships; deep physiological quantities; hemodynamic quantities; intensive care patients; metabolic quantities; patient status; qualitative reasoning; quantitative reasoning; respiratory quantities; Biomedical monitoring; Cardiology; Computer science; Engines; Equations; Expert systems; Filling; Hemodynamics; Patient monitoring; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
Type :
conf
DOI :
10.1109/IEMBS.1994.415481
Filename :
415481
Link To Document :
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