Voronenko M. Models and information technologies of decision-making support in epidemic emergency situation in the region

Object - models and methods of information support of decision-making in emergency and epidemic situations in the region. Goal - improving the efficiency of decision-making in emergency and epidemic situations in conditions of uncertainty through the use of Bayesian networks in combination with the methods of statistical simulation. Methods - a systematic analysis with the formalization of the subject area was used for modelling of processes of occurrence and development of emergencies are used methods of mathematical modeling, set theory, mathematical statistics. Methods of probability theory, mathematical formalism of Bayesian networks are used to calculate features in the subsystem of diagnosing infectious diseases. Improvement of the mechanism for obtaining the solutions of workers of sanitary and epidemiological services is based on the theory of decision-making. In the development of algorithms and software modules used methods of algorithmization and object-oriented programming. Scope - decision-making in emergency and epidemic situations.