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.
DOI: 10.1007/978-3-319-67349-3_14
Скачать полный выпуск (PDF) с сайта Springer Nature Link (англ.): https://link.springer.com/content/pdf/10.1007/978-3-319-67349-3.pdf
Скачать статью (PDF) с сайта Национального Геронтологического Центра (англ): http://www.ngcrussia.org/Lit/Krut`ko V.N.Intelligent Internet Technology%20 2018.pdf
РИНЦ: https://www.elibrary.ru/item.asp?id=26178123
ResearchGate: https://www.researchgate.net/publication/319199597_Intelligent_Internet_Technology_for_Personalized_Health-Saving_Support
V. N. Krut`ko, A. M. Bolshakov, V. I. Dontsov, O. A. Mamikonova, A. M. Markova, A. I. Molodchenkov, N. S. Potemkina, I. V. Smirnov. (2018) Intelligent Internet Technology for Personalized Health-Saving Support // In: Hu Z., Petoukhov S., He M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. Pp. 157–165.