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synthesis of illegible solving rules of forecasting and early diagnostic of diseases of immune system.

As well as at construction of mathematical models EMPPCH for the first system for immune system (the class-room ω∏) the formula (3.2) is chosen for
Scalings of base variable Z1.

Expert interrogation for construction of function of a fitting μ∏ (Z1) is presented by table 3.4

Table 3.4. Results of expert interrogation on the class-room ω∏ for the base

Variable Z1.

On average data of table 3.4 the schedule of matching function of the fitting, resulted on rice 3.13 is builted.

Drawing 3.13 Schedule of function of a fitting μ∏ (Z λ).

Analytically the schedule resulted on rice 3.13 presented expression.

Results of an estimation of agency of a constant magnetic field with the account

Kursk magnetic anomaly on a scale ∣0...., 1∣эксперты have presented table 3.5

Table 3.5. Results of expert interrogation on the class-room ω∏ for base variable Z

The average schedule of matching function of a fitting is resulted on rice 3.14.


Drawing 3.14 Schedule of function of a fitting μ∏ (Z2).

Analytically the schedule resulted on rice 3.14 presented expression.

In the absence of a component from a constant magnetic field:

In the presence of a component of a constant magnetic field:

The greatest marks of ecological and ergonomic character juzdajut boiler and turbine branches of thermal power stations (TES) which such risk factors for immune system as 5 are present: jurozoli mainly fibrogennogo acts; phenol; oksid carbon and ioksid nitrogen.

Additional risk factor is the adverse climate in otelnyh and turbine branches.

The analysis of disease of workers in departments TES has allowed experts to leave the table of factors of confidence of diseases immune istemy depending on a trade and the work experience, is analogous to tables, іриведенньїх in works [66, 75] (table 3.6).

Table 3.6 the Table of factors of confidence on diseases of immune system.

proizvodstvennoyoprofessionalnye groups The work circuit design in years (to)
2 4 6 8 10 12 14 16 18 20 > 20
1.
Machinists of coppers
0 0 0 0,1 0,2 0,2 0,3 0,3 0,3 0,4 0,4
2. Machinists inspectors of the boiler equipment 0 0 0 0,1 0,1 0,2 0,2 0,3 0,3 0,3 0,4
3. Machinists

Crumbers

0 0 0,1 0,1 0,2 0,2 0,25 0,25 0,3 0,4 0,45
4. Machinists

Turbines

0 0 0 0 0 0,1 0,1 0,1 0,2 0,2 0,3
5. Machinists inspectors of the turbine equipment 0 0 0 0 0 0 0,1 0,1 0,2 0,2 0,3

Confidence UVEhв emersion and development of diseases of immune system in workers TES listed in the table is defined by the matching factor uverennostijavljajushchimsja

Table 3.6 element.

Where p - sign number; q - number of an interval of the experience of work.

In the list of risk factors of the class-room ω∏, connected with a way of life (component OQ, rice 3.1) experts have defined models: the frequent use of medical products breaking work of the immune
Systems (mainly antibiotic and hormonal means) (b); chronic or acute krovopoterja (b2); infringements menstrualnogo a cycle (b3); chronic infections ZHKT (b); chronic infections of urinogenital system (b5); parazitoz (b6); the hereditary and got sicknesses of gemmas and a spleen (b); surgical interferings (b); the alimentary factor (undereatings, diets) (b).

To analogously diseases of nervous system:

C the account (3.19) and (3.20) confidence of emersion and development of diseases of immune system under factors of external affectings is defined by expression:

As well as for nervous system significant agency on emersion and development of diseases ω∏ influences a long psychoemotional pressure and chronic fatigue which, according to experts, can be defined analogously (3.12), but with reducing factor:

Taking into account gained making confidence of the forecast of emersion of diseases of immune system through time Т0 it is defined by expression:

To analogously diseases of a soya for synthesis of models of diagnostic of early stages of diseases of immune system it is used pokazateli

Power reaction obshchesistemnyh Bath chosen in section 2.3.

Taking into account it on a power unbalance Bath the confidence available early stages of diseases of immune system is defined by expression:

113

Taking into account (3.23) and (3.24) it is gained:

For an estimation of a functional condition of immune system on magnitude of a power condition obshchesistemnyh Bath for model 2.38 analytical forms for private functions are gained

114

The second component for an estimation of a functional condition of immune system is defined on parametres the SEX and AOA (model 2.41).

For this model of function of level of a functional condition are defined by expressions:

Definitively magnitude of a functional condition of immune system is defined by expression (2.42).

For an estimation of magnitude of a functional reserve of immune system rationing functions of an aspect are gained:

115

Total magnitude of a functional reserve of immune system is defined by model (2.43).

For use of parametre FRв prognosticheskoj models (3.23) at expert level function of confidence of the forecast is defined,

Which schedule is resulted on fig. 3.15

Drawing 3.15 Schedule of level of confidence of the forecast on the class-room ω∏ from base variable FR.

Analytically the schedule resulted on rice 3.15 is presented by expression:

As a result of mathematical modelling and an expert sizing up it has been installed, that prognosticheskaja (model 3.23) and diagnostic (model 2.35) mathematical models provide confidence of accepted solutions not more low 0,9, that allows to recommend them for practical application.

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Scientific source Mjasoedova Marina Anatolevna. FORECASTING And EARLY DIAGNOSTIC of OCCUPATIONAL DISEASES of WORKERS of ELECTROPOWER BRANCH ON THE BASIS OF HYBRID ILLEGIBLE MODELS. The dissertation on competition of a scientific degree of a Cand.Tech.Sci. Kursk - 2019. 2019

Other medical related information synthesis of illegible solving rules of forecasting and early diagnostic of diseases of immune system.:

  1. BIBLIOGRAPHIC SPIKOK
  2. the Method of synthesis of hybrid indistinct solving rules of forecasting of occurrence and a gangrenosis of the bottom extremities
  3. Results of experimental check of solving rules of forecasting of professional suitability of cadets of the Ministry of Emergency Measures
  4. Formation of "weak" qualifiers of the bottom hierarchical level
  5. the Method of construction of hybrid solving rules for forecasting of risk of an arterial hypertensia
  6. Experimental researches of models of solving rules of forecasting of diseases of drivers of vehicles of extreme services
  7. the List of the used literature
  8. Stepashov the Novel Vladimirovich. the METHOD, MODELS And ALGORITHM of FORECASTING And EARLY DIAGNOSTICS of OCCUPATIONAL DISEASES of WORKERS of the AGRICULTURE CONTACTING With JADOHIMIKATAMI, ON THE BASIS OF HYBRID INDISTINCT TECHNOLOGIES. The dissertation on competition of a scientific degree of a Cand.Tech.Sci. Kursk - 2018, 2018
  9. THE MAINTENANCE
  10. 1.3. Methods of recognition of images and the indistinct logic in problems of forecasting and medical diagnostics
  11. 2 method and model of indistinct forecasting and early diagnostics of occupational diseases of workers of agriculture, Contacting with jadohimikatami
  12. 2.2. A method of synthesis of indistinct solving rules of forecasting and early diagnostics of workers of the agriculture contacting with jadohimikatami.
  13. 2.3. Information-analytical model of decision-making on forecasting and early diagnostics of occupational diseases.
  14. SYNTHESIS OF INDISTINCT MATHEMATICAL MODELS OF FORECASTING AND EARLY DIAGNOSTICS OF THE DISEASES PROVOKED BY ACTION AGRICULTURAL JADOHIMIKATOV.
  15. 3.1. Synthesis of private solving models of forecasting of occupational diseases from contact with jadohimikatami.
  16. 3.2. Synthesis of hybrid indistinct solving rules of forecasting of occurrence of occupational diseases of workers of the agriculture occupied in plant growing.
  17. 3.3. Synthesis of hybrid indistinct models of early diagnostics of occupational diseases of workers of the agriculture occupied in plant growing.
  18. 4.1. Algorithm of management of system of support of decision-making
  19. 4.3. Experimental check of mathematical models of forecasting and early diagnostics of diseases of workers of the agriculture contacting with jadohimikatami.