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This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the resul...
Abstract The impact of two types of multi-walled carbon nanotubes (MWCNTs) (12-14 nm) with different content of metallic impurities (purified and unpurified nanotubes) on peroxidation processes, the status of immune cells in healthy volunteers and gene expression combined to pathway analysis was studied in vitro. From the study it was shown that th...
The article provides the description of InForMedKB (Inductive Formation of Medical Knowledge Bases) software package. It allows creating training sets (consisting of clinical histories from various branches of medicine) and forming medical knowledge bases inductivly. These knowledge bases are presented in the form accepted in the medical literature...
Statements of the major tasks of inductive formation of knowledge are suggested. These are classifications and clusterings, which are part of machine learning and are applied for dependence models with parameters that are not flawed in their traditional statement. An algorithm for knowledge base formation is presented for learning samples in almost...
The hypothesis is advanced that external evaluation of properties in the inductive formation of knowledge (IFK) method reflects, to greater extent, the degree of separation of object classes in the object domain and, to a lesser extent, the properties of the IFK method itself, while internal evaluation, in contrast, reflects the property of the IFK...
The task of inductive formation of knowledge for a simplified ontology of medical diagnostics is considered. We present the results of experimenting (based on data models) with a problem-oriented method for the random arrangement of the bounds of dynamics periods for this ontology, which is in fact a version of the Monte-Carlo method.
This paper reviews tests of the features of methods of inductive knowledge discovery, it proposes a general approach to their performance and a scheme of experimental exploration, as well as giving examples of the use of a general approach for studying the features of methods during tasks of pattern recognition and medical diagnostics.