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This article is cited in 1 scientific paper (total in 1 paper)
INTELLIGENT SYSTEMS AND TECHNOLOGIES
Automatic calculation of disease risk factors values using artificial intelligence methods and Internet of Things technology
A. I. Molodchenkovabc, O. G. Grigorieva, Ya. N. Sharafutdinovb a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
c Peoples' Friendship University of Russia, Moscow, Russia
Abstract:
The paper describes algorithms for automatic calculation of the values of risk factors for diseases on the base of data received from bracelets, smart watches, scales and other Internet of Things devices. At the present time such devices allow us to measure different parameters of a person's health and lifestyle. It is possible to calculate the values of risk factors for various diseases, on the base of these parameters. The article describes an algorithm to calculate the average heart rate at rest values as one of risk factors using data received from wearable devices.
Keywords:
health, risk factors, artificial intelligence, knowledge base, prevention, Internet of Things.
Citation:
A. I. Molodchenkov, O. G. Grigoriev, Ya. N. Sharafutdinov, “Automatic calculation of disease risk factors values using artificial intelligence methods and Internet of Things technology”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 1, 83–86
Linking options:
https://www.mathnet.ru/eng/itvs722 https://www.mathnet.ru/eng/itvs/y2021/i1/p83
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Abstract page: | 65 | Full-text PDF : | 29 |
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