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Tyutrin I.I.

Siberian State Medical University

Slizevich D.S.

National Research Tomsk Polytechnic University

Klimenkova V.F.

Siberian State Medical University

Shpisman M.N.

Siberian State Medical University

Kotlovskaya L.S.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Zhukov E.L.

National Research Tomsk Polytechnic University

Gulyayev N.I.

Vishnevsky Third Central Military Clinical Hospital

Momot D.A.

Altai State Medical University

Tarabrin O.A.

Odessa National Medical University

Udut V.V.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Decision-making system for on-line assessment of hemostatic potential based on neural networks

Authors:

Tyutrin I.I., Slizevich D.S., Klimenkova V.F., Shpisman M.N., Kotlovskaya L.S., Zhukov E.L., Gulyayev N.I., Momot D.A., Tarabrin O.A., Udut V.V.

More about the authors

Journal: Russian Journal of Anesthesiology and Reanimatology. 2022;(1): 68‑75

DOI: 10.17116/anaesthesiology202201168

Read: 1849 times

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Table of contents

DECISION-MAKING SYSTEM FOR ON-LINE ASSESSMENT OF HEMOSTATIC POTENTIAL BASED ON NEURAL NETWORKS
DECISION-MAKING SYSTEM FOR ON-LINE ASSESSMENT OF HEMOSTATIC POTENTIAL BASED ON NEURAL NETWORKS

To cite this article:

Tyutrin II, Slizevich DS, Klimenkova VF, et al. . Decision-making system for on-line assessment of hemostatic potential based on neural networks. Russian Journal of Anesthesiology and Reanimatology. 2022;(1):68‑75. (In Russ.)
https://doi.org/10.17116/anaesthesiology202201168

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Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To develop the technology for hemostatic monitoring based on express assessment of hemostatic potential of native blood with neural networks.

MATERIAL AND METHODS

The authors described the «Vector» system for on-line assessment of hemostatic state by the method of low-frequency piezothromboelastography.

RESULTS

Considering data of more than 3.000 studies, we found 11 possible variants of phenotypes of hemostatic potential. The last ones were based on analysis of all hemostatic stages (proteolysis, polymerization and fibrinolysis), as well as structural and chronometric components of fibrinogenesis.

CONCLUSION

Rapid integrative assessment of hemostatic potential of native blood has not only diagnostic, but also prognostic value. Indeed, this system is valuable to minimize the number of errors associated with assessing the functional state of hemostasis and significantly reduce the time of decision-making in each situation.

Keywords:

hemostasis
decision-making support system
DSS
low-frequency piezothromboelastography

Authors:

Tyutrin I.I.

Siberian State Medical University

Slizevich D.S.

National Research Tomsk Polytechnic University

Klimenkova V.F.

Siberian State Medical University

Shpisman M.N.

Siberian State Medical University

Kotlovskaya L.S.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Zhukov E.L.

National Research Tomsk Polytechnic University

Gulyayev N.I.

Vishnevsky Third Central Military Clinical Hospital

Momot D.A.

Altai State Medical University

Tarabrin O.A.

Odessa National Medical University

Udut V.V.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Received:

16.03.2021

Accepted:

16.08.2021

Close metadata

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