| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 7 | |
| Section | Mathematical Modeling, IT, Industrial IoT, AI, and ML | |
| DOI | https://doi.org/10.1051/e3sconf/202340203009 | |
| Published online | 19 July 2023 | |
Application of artificial intelligence methods in estimation the risk of transporting a patient by road
1 Siberian State University of Telecommunications and Information Science, 86 Kirova St, 630102, Novosibirsk, Russian Federation
2 Kuban State University, 149 Stavropolskaya St, 350040, Krasnodar, Russian Federation
3 Altai Regional Cardiology Dispensary, 46 Malakhov St, 656055, Barnaul, Russian Federation
* Corresponding author: kazak_a@mail.ru
The paper proposes an original logical-probabilistic method for calculation of the risk of medical evacuation of tough patients by road transport. A comprehensive estimation of road conditions and risk factors for transporting an intensive care patient, as well as the calculation of a formal quantitative measure of the risk of transportation by the method of Bayesian inference have been considered. An effective instrument for estimating transportation risks for medical decisions support has been developed.
Key words: Bayesian believe networks / intensive care patient / road conditions / transportation risks / risk factors / identification of risk factors
© The Authors, published by EDP Sciences, 2023
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