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0221U105560,
0119U101283
,
To develop distributed methods for analyzing text information and effective procedures for recognizing complex structural objects
Rаspopov Viktor B., Кандидат фізико-математичних наук
22-07-2021
Research and educational center of applied informatics NASU
Two non-equivalent transformations of the labeling scheme ("a coloring of labelings of a column of a schema " and "a transformation of a labeling scheme with respect to the selected subset of objects") were introduced and investigated. A method is developed for applying the operation of coloring the labelings of a schematic column to transform a labeling scheme into a quasi-equivalent scheme, in which it is possible to perform uncoupling operations with any column of the schema. This property of the operation opens the way to create a method for solving the problem of "grammar recovery", i.e. a construction of the labeling scheme, which specifies a given set of mappings based on equivalent transformations of the labeling scheme. The Bayesian approach was used for introducing a method for determining risk groups for the development of certain complications that accompany COVID-19 disease, based on the results of determining point mutations in the genome of patients. Applying this methodology would radically improve the strategy to combat the COVID-19 pandemic. A method for improving the differential diagnosis of pathologies associated with aggregation of blood cells was suggested. It uses a recognition algorithm based on the Bayesian procedure.
Brovarnyk Vyacheslav V.
Vahis Oleksandra A
Гупал А.М.
Tkachov Igor I.
2021-07-22
Updated: 2025-12-07
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