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Abstract: With the proliferation of modern monitoring and laboratory procedures, physicians in intensive care areas may face "information overload", in dealing with very large, complex and ever-changing quantities of clinical data, which often lacks efficient organization. This research analyzes the medical knowledge required for formulating decision models in the domain of hemodynamics. Based on such analysis, a knowledge based expert system to track a patient's hemodynamic state has been developed and... (Update)
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...expert system must be able to run CVsim iteratively, and search for the best match. Then the diagram of the current system was put forward in [41], as shown in Figure 4 6. Initial Parameters Set Run CVsim Feature Detector Inference Engine Knowledge Base Pseudo patient...
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A Model-Based Expert System for Interpretation of Hemodynamic Data .. - Zhao (1997) (Correct)
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BibTeX entry: (Update)
R. Zhao, R. G. Mark, and P. Szolovits. A model-based expert system for interpretation of hemodynamic data from ICU patients. In Computers in Cardiology, pages 585--588, Indianapolis, Indiana, 1996. 121 http://citeseer.ist.psu.edu/zhao97modelbased.html More
@techreport{ zhao97modelbased,
author = "R. Zhao",
title = "A Model-Based Expert System for interpretation of hemodynamic data from {ICU} patients",
number = "MIT/LCS/TR-718",
pages = "122",
year = "1997",
url = "citeseer.ist.psu.edu/zhao97modelbased.html" }
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