the Table of contents
Conducting 4
1 State-of-the-art review and statement of problem on research 11
1.1 Analysis of modern approaches to forecasting
Cardiovascular complications 11
1.2 Methods of forecasting and diagnostics applied in
To medical practice 15
1.3 Computer production engineering of forecasting and diagnostic
In medical practice 17
1.4 Illegible models of decision-making in the medical
Diagnostic systems 20
1.5 Statement of problem on research 29
2 Working out of intellectual agents and models
Forecasting of origination and development of an ischemia of heart 31
2.1 Structural analysis and synthesis priznakovogo spaces
For mathematical models of forecasting and development of an ischemia of heart 31
2.2 Synthesis of mathematical models of forecasting
Ischemic risks on the basis of traditional prediktorov serdechnoyososudistyh complications 42
2.3 Method of the operative control over dynamics of development
Heart ischemia on a power unbalance of meridional structures 51
2.4 Models and algorithms for forecasting of the ischemic
Sicknesses of heart on the basis of the analysis elektrokardiosignala 63
2.5 Leading-outs of second section 69
3 Methods and models structurally - functional solutions at
Forecasting of ischemic risks 72
3.1 Structurally - functional model of decision-making for
Doubling solutions and associative sampling 72
3.2 Model of decision-making with use of the neural
Networks 77
3.3 Module of decision-making on an ischemic risk on
To basis of an illegible logic leading-out 79
3.4 Control package bustingom and algorithms of its work 83
3.5 Leading-outs of third section 92
4 Experimental researches of the automated system
Forecasting of ischemic risks 94
4.1 Block diagramme of the automated system
Forecasting of ischemic risks 94
4.2 Software for the automated system
Forecasting of ischemic sickness of heart 97
4.2.1 Module of the automated analysis
elektrokardiosignala 98
4.2.2 Software for the module illegible
Logic leading-out 109
4.3 Experimental researches of quality of adoption
Solutions of modules of the automated system on forecasting of ischemic risks 113
4.4 Leading-outs of fourth section 120
The conclusion 122
The list of abbreviation and legend 124
The list of the literature 127
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