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Kobrinskii B.A.

Federal Research Center 'Computer Science and Control', Russian Academy of Sciences, Moscow, Russia;
N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russia, Moscow, Russia

Kadykov A.S.

FGBU "Nauchnyĭ tsentr nevrologii" RAMN, Moskva

Poltavskaya M.G.

Sechenov First Moscow State Medical University, Moscow, Russia

Blagosklonov N.A.

Federal Research Center 'Computer Science and Control', Russian Academy of Sciences, Moscow, Russia

Kovelkova M.N.

N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russia, Moscow, Russia

The principles of the operation of an intellectual system of dynamic risk control and the formation of health recommendations

Authors:

Kobrinskii B.A., Kadykov A.S., Poltavskaya M.G., Blagosklonov N.A., Kovelkova M.N.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2019;22(5): 78‑84

DOI: 10.17116/profmed20192205178

Views: 1287

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THE PRINCIPLES OF THE OPERATION OF AN INTELLECTUAL SYSTEM OF DYNAMIC RISK CONTROL AND THE FORMATION OF HEALTH RECOMMENDATIONS
THE PRINCIPLES OF THE OPERATION OF AN INTELLECTUAL SYSTEM OF DYNAMIC RISK CONTROL AND THE FORMATION OF HEALTH RECOMMENDATIONS

To cite this article:

Kobrinskii BA, Kadykov AS, Poltavskaya MG, Blagosklonov NA, Kovelkova MN. The principles of the operation of an intellectual system of dynamic risk control and the formation of health recommendations. Russian Journal of Preventive Medicine. 2019;22(5):78‑84. (In Russ.)
https://doi.org/10.17116/profmed20192205178

 
 
Подписка 2025-2 (Russian Journal of Preventive Medicine)
 
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Abstract Health maintenance is determined by numerous factors. Their set determines the risk of various manifestations of human disease. This study is devoted to the development of an intelligent system that takes into account personal predictors and possible situations, which determine the level of a risk for diseases (in the model of myocardial infarction and stroke). The semantic network not only combines the attributes of risk factors, but also includes nodes with the recommendations that correspond to the sets of risk factor, which are identified at a particular moment in an individual. This is in line with a personalized approach to disease prevention.

Keywords:

health maintenance
risk factors
intellectual system
knowledge base
myocardial infarction
stroke
personal prevention

Authors:

Kobrinskii B.A.

Federal Research Center 'Computer Science and Control', Russian Academy of Sciences, Moscow, Russia;
N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russia, Moscow, Russia

Kadykov A.S.

FGBU "Nauchnyĭ tsentr nevrologii" RAMN, Moskva

Poltavskaya M.G.

Sechenov First Moscow State Medical University, Moscow, Russia

Blagosklonov N.A.

Federal Research Center 'Computer Science and Control', Russian Academy of Sciences, Moscow, Russia

Kovelkova M.N.

N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russia, Moscow, Russia

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