Linguistic Means of Intellectual Medical Decision Support Based on the Simulation and Semantic Modeling in the Clinical Practice

Abstract

To implement the tasks incomplete processing of medical information, better understanding of the decision-making context, raising the level of abstraction for the search of an optimal strategy based on iteration methods for the criteria and iteration on strategies proposed language for modeling dynamic decision-making (DDML) to support decision-making under uncertainty. The structure of the language is determined by a set of specific requirements for the simulation of dynamic decision-making, as well as some basic principles of modern computer technologies. There is a separation of presentation-tier approaches to formulation of the problem, the solution and its analysis.