Intellectual Support of Medical Decisions in Selection of Medicamental Treatment Based on the Dual-Model Approach to Forecasting and Optimization of its Effectiveness

Abstract

The article presents the dual-model approach aimed at intellectual support of medical decisions in selection of medicamental treatment. The duality is determined by the two ways of use of the neural network model, linking the dynamics of the treatment effectiveness with the parameters characterizing a patient's initial condition and a medical prescription. It is demonstrated that the first method is based on the replacement of real performance assessments in control points with prognosis evaluation in medicamental treatment correction. The second method allows to include expert evaluation of a doctor in the decision-making process with an orientation to the optimal doses of medical drugs, calculated on the basis of a mathematical model. The combination of these methods ensures an increase in the effectiveness of the decisions made by reducing the number of control points and selecting a more appropriate medicamental treatment for a patient.