Automated complex of multidisciplinary neural network support of medical decisions in the treatment of coronary heart disease
https://doi.org/10.25881/18110193_2023_3_58
Abstract
The article covers methods and procedures for developing a neural network decision support system when choosing the tactics of surgical intervention on coronary heart vessels. The system is designed to advise a wide range of practicing cardiologists and cardiac surgeons when deciding on the tactics of surgical intervention in patients with conditions associated with compromised coronary vessels. Based on a mathematical model taking into account a number of factors and the outcomes of previously performed surgeries, the neural network system offers a choice between aorto-coronary bypass surgery and percutaneous coronary intervention. The decision determined by the system can serve as an additional argument for the final adoption of a collegial decision in complex clinical cases. Right decision affects the patient’s recovery time after surgery, the quality of life after recovery, and the ability to continue working after treatment. The neural network decision support system in the field of cardiac surgery is designed as a standard application for a personal computer with specific technical characteristics that allow processing a large amount of data. Access to the system can be obtained by any cardiologist or cardiac surgeon registered in the system and validated. The developed complex is designed to provide healthcare institutions with a digital product and domestic service based on a new technological structure.
Keywords
cardiovascular diseases,
diagnostics and treatment,
ischemic heart disease,
mathematical model,
neural network,
software
Supporting agencies: The work was supported by the Foundation for Assistance to Small Innovative Enterprises (FASIE).
About the Authors
D. M. Zhuravlev
Institute of Social Systems
Russian Federation
Russian Federation
DSc
Moscow
F. Yu. Kopylov
I.M. Sechenov First Moscow State Medical University
Russian Federation
Russian Federation
DSc
Moscow
V. K. Chaadaev
Institute of Social Systems
Russian Federation
Russian Federation
DSc
Moscow
S. V. Ardatov
Samara State Medical University
Russian Federation
Russian Federation
PhD
Samara
K. V. Chaadaev
ITC MOLNET; Bauman Moscow State Technical University
Russian Federation
Russian Federation
Moscow
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Review
For citations:
Zhuravlev D.M., Kopylov F.Yu., Chaadaev V.K., Ardatov S.V., Chaadaev K.V. Automated complex of multidisciplinary neural network support of medical decisions in the treatment of coronary heart disease. Medical Doctor and Information Technologies. 2023;(3):58-71. (In Russ.) https://doi.org/10.25881/18110193_2023_3_58
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