Intelligent System for Health Saving
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01.01.2020 |
Krut’ko V.
Dontsov V.
Markova A.
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Advances in Intelligent Systems and Computing |
10.1007/978-3-030-12082-5_19 |
0 |
Ссылка
© 2020, Springer Nature Switzerland AG. Multifactorial nature of human health and need in personifying the approach to each person in the health saving programs should use modern information and cognitive technologies for the tasks of health assessment and control. The article presents a concept, basic methods, and a structure of intelligent system of health saving (InSyHS), created by the authors to solve these tasks. This system implements the intelligent Internet technology based on modern cognitive methods and information about health, considering all possible health-determining essential factors (nutrition, physical activity, lifestyle, social and nature environment), and doing people to form an active relation to health with the possibility of self-diagnostics (physical and mental reserves, stress, psycho-emotional characteristics), optimization and personalization of personal health saving programs.
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Intelligent internet technology for personalized health-saving support
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01.01.2018 |
Krutko V.
Bolshakov A.
Dontsov V.
Mamikonova O.
Markova A.
Molodchenkov A.
Potemkina N.
Smirnov I.
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Advances in Intelligent Systems and Computing |
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2 |
Ссылка
© 2018, Springer International Publishing AG. Multifactorial nature of human health and need in personifying the approach to each person leads to the fact that full implementation of healthy life style (HLS) technologies is possible only on the basis of artificial intelligence technologies, widely implemented in the preventive medicine via modern Internet technologies. Modern computer systems allow considering simultaneously big data of separate factors in health assessing and selecting of individualized recommendations for personal HLS. This article presents a concept and a structure of intelligent Internet technology for personalized health-saving support, which allow assessing health and preparing individual optimal recommendations for HLS.
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