Development of Medical Decision Making Support System

This article is devoted to the development of an intelligence system for medical decision making support (MDMSS) designed for reducing the burden on doctors and increase the differential diagnosis accuracy. Hybrid model, as a key feature, is suggested to be capable to analyse unstructured clinical history in Russian language. The system architecture, including data base structure, text preprocessing module, hybrid symptom extraction mechanism (with linguistic rules and semantic analysis based on BERT neural network model), is described.

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