
name
Fomina Yelena Vladimirovna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Kuban State Medical University
Research interests
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Web site url
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TOP5 co-authors
Articles count: 4
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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SCIENTIFIC BASIS AND PROBLEMS BETWEEN INCOME, ECONOMIC GROWTH AND DEVELOPMENT
Description
The article discusses the scientific basis and the problems of the relationship of income growth and development in agriculture. The factors influencing the growth of income are discussed
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Description
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.
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Description
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.
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Description
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.