Abstract
We describe an original method for knowledge and data acquisition and processing in solving biomedical problems, including, in particular, diagnosis of depression. This method underlies for an intelligent system that is developed for diagnosis and prevention of depression based on logical--combinatorial test methods for pattern recognition. The intelligent system is distributed and includes two subsystems. The first subsystem is implemented as a web application and incorporated into a complex of intelligent systems for prevention of mental and behavioral disorders. The second subsystem is implemented as a dynamic plug-in to the intelligent instrumental software IMSLOG based on the revealing of different kinds of regularities, logical--combinatorial and logical--combinatorial--probabilistic methods for pattern recognition, and cognitive tools for decisionmaking support and its justification. Applied intelligent systems are being developed on the base of the intelligent instrumental software IMSLOG. We also present a description of our proposed intelligent system.
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