Analysis of approaches to hybridization of the case-based reasoning method in medical decision support systems

The paper is aimed at improving the methods of automating problem solving in clinical practice using cooperative self-configuring hybrid intelligent systems that integrate various models and intelligent technologies to achieve a synergistic effect from their interaction. The paper examines the features and evaluates the possibilities of hybridizing one of the artificial intelligence methods, namely, case-based reasoning, when building medical decision support systems. An analysis of works in this area demonstrated the active use of various artificial intelligence methods and hybridization approaches as well as the prospects for developing methods for adapting cases using artificial intelligence methods to build such systems.