Application of artificial intelligence methods in estimation the risk of transporting a patient by road

Abstract

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.

Keywords

• bayesian believe networks
• intensive care patient
• road conditions
• transportation risks
• risk factors
• identification of risk factors