1 - 6 of 6 articles
This paper describes an intelligent system that performs the JSM automated research support method, which is designed to diagnose pancreatic diseases, that is, chronic pancreatitis and pancreatic cancer. A preliminary study is presented; further trends for the development of the system are listed.
—This paper looks into issues associated with the Internet presence of the Academies of Sciences in several Western European countries. We identify the legal statuses of these academies and describe their administrative, financial, and informational interactions with government bodies,...
This paper discusses two languages for representation of chemical structures and carries out their comparative analysis for the prediction of biological activity using an intelligent JSM-system. The comparison is carried out on three data arrays in terms of the group of parameters.
In this paper, we describe a new probabilistic algorithm for calculating hypotheses as the results of similarities between training examples for a machine learning problem based on a binary similarity operation. Unlike previously proposed probabilistic algorithms, the order of accounting for...
Genotypic (DNA mutations) and phenotyping data on patients with melanoma are analyzed to identify markers of early disease diagnosis and critical involved genes. An optimal mining method was chosen from those that are traditionally used in the field. This method allows one to analyze a set of...
The logical means of detecting empirical regularities using the JSM method of automated research support are considered. Generators of hypotheses about the causes and hypotheses about predictions that are stored in sequences of expandable fact bases are determined. Many “histories of possible...
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