Decision support technology for clinical data cognitive analysis
https://doi.org/10.17650/1683-3295-2021-23-4-121-125
Abstract
A practicing physician is faced with decision-making problems in uncertainty terms in his daily activities such as a lot of different information about the patient. Diagnostic issues, identification of patient management leading modalities is associated with the demand for high-quality prognosis of the disease course, calculating the risks of complications and adverse outcomes that especially problematic in emergency situations. The human brain is significantly surrender to modern computers in processing power, but it is able to instantly interpret information and analyze it, and also it is able to learn, form ideas, make conclusions. Attempt of association both the computational power and human brain intuitive analysis was reflected in the construction of computer programs based on the “Neural networks”. Together with the information technology development, the design of new neural networks configurations, and their training principles, its chances turn up in the physician daily activity decision making sphere.
About the Authors
N. V. Lavrinenko
Clinical Emergency Hospital
Russian Federation
Russian Federation
71 M. Koneva St., Tver 170024
D. A. Gulyaev
V.A. Almazov National Medical Research Center; North-Western State Medical University named after I.I. Mechnikov
Russian Federation
Russian Federation
Dmitry Aleksandrovich Gulyaev
12 Mayakovsky St., St. Petersburg 191104
41 Kirochnaya St., St. Petersburg 191015
V. A. Manukovskiy
North-Western State Medical University named after I.I. Mechnikov
Russian Federation
Russian Federation
41 Kirochnaya St., St. Petersburg 191015
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Review
For citations:
Lavrinenko N.V., Gulyaev D.A., Manukovskiy V.A. Decision support technology for clinical data cognitive analysis. Russian journal of neurosurgery. 2021;23(4):121-125. (In Russ.) https://doi.org/10.17650/1683-3295-2021-23-4-121-125
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