Bayesian belief networks as probabilistic graphical model for medical risk assessment

Realization of medical risks leads to occurrence of adverse effects which negatively affect patient’s health; result in irrational use of human and economic recourses, economic losses. In the framework of system risk analysis medical risks is connected with uncertainty related to crucial impact of human factor to the medical system. The problem of medical risks assessment and decision making on different stages of patients’ health care support systems’ construction comes up. In the paper I provide a state-of-art analysis of Bayesian belief networks use for medical risk assessment and decision making under uncertainty support in particular in the framework of health care organizations’ risk management and insurance risk assessment.