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| Research article summary (published 28 Feb 2008): |
[Quantitative measures for assessing the functional state of the human body during diagnostic procedure]
Full Abstract
Two approaches to calculation of the qualitative measures for assessing the functional state level of human body are considered. These approaches are based on image and fuzzy set recognition theories and are used to construct diagnostic decision rules. The first approach uses the data on deviation of detected parameters from those for healthy persons; the second approach analyzes the degree of deviation of detected parameters from the approximants characterizing the correlation differences between the parameters. A method for synthesis of decision rules and the results of blood count-based research for a number of diseases (hemophilia, thrombocytopathy, hypertension, arrhythmia, hepatic cirrhosis, trichophytia) are considered. An effect of a change in the functional link between the cholesterol content in blood and the relative rate of variation of AST and ALT enzymes in blood from direct proportional (healthy state) to inverse proportional (hepatic cirrhosis) is discussed. It is shown that analysis of correlation changes in detected parameters of the human body state during diagnostic process is more effective for application in decision support systems than the state space analysis.
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Author information
Author/s: Artemenko, M V (MV);
Journal and publication information
Publication Type: English Abstract; Journal Article
Journal: Meditsinskaia tekhnika (Med Tekh), published in Russia (Federation). (Language: rus)
Reference: -2008 Mar-Apr; vol (issue 2) : pp 38-41
Dates: Created 2008/05/29; Completed 2008/07/28;
PMID: 18509906, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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