350 rub
Journal Highly available systems №1 for 2016 г.
Article in number:
Particular usage characteristics of BIG DATA in medical diagnostics tasks
Keywords: medical diagnostic Big Data mining
Authors:
N.Yu. Ilyasova - Dr. Sc. (Eng.), Professor, Department «TC», Samara State Aerospace University, Senior Research Scientist, Image Processing Systems Institute of RAS (Samara). E-mail: ilyasova@smr.ru A.V. Kupriyanov - Dr. Sc. (Eng.), Professor, Department «TC», Samara State Aerospace University, Senior Research Scientist, Image Processing Systems Institute of RAS (Samara). E-mail: akupr@smr.ru S.B. Popov - Dr. Sc. (Eng.), Professor, Department «TC», Samara State Aerospace University, Leading Research Scientist, Image Processing Systems Institute of RAS (Samara). E-mail: spop@smr.ru R.A. Paringer - Post-graduate Student, Assistant, Department «TC», Samara State Aerospace University, Trainee-researcher, Image Processing Systems Institute of RAS (Samara). E-mail: rusparinger@gmail.com
Abstract:
The paper presents the main research results in the area of data mining application to medicine. A distinctive feature of medical di-agnostics is a high-speed generation of data, mostly unstructured. We propose a new information technology of data mining for different classes of biomedical images based on the methodology of diagnostically relevant information selection and creation of informative characteristics. Application of Big Data technologies in proposed systems of medical diagnostics has allowed to improve the learning set quality and reduce the classification error. Based on these results, the conclusion is made, that the usage of many heterogeneous sources of diagnostic information made it possible to improve the overall quality of the diagnostics.
Pages: 45-52
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