Adaptive treatment of these mediсo-biological researches by methods of computational intelligence

Authors

DOI:

https://doi.org/10.15587/1729-4061.2014.21202

Keywords:

computational intelligence, neural network, cluster, centroid, membership degree

Abstract

A new approach to processing data of biomedical researches using methods of computational intelligence is considered in the paper. It lies in fulfilling three stages of data processing: preliminary data preprocessing, which includes rational coding of information; reducing the dimension of space attributes; data clustering. Each stage is essential for achieving the result, which will satisfy a researcher. A peculiar feature of the approach lies in using a unique processing technique with the known and unknown data distribution law, i.e. the law of data distribution does not affect the method results. In addition, the method is not sensitive to the ratio of the amount of objects under research and the amount of indicators, designating these objects. The offered approach implies data processing at a limited sampling (known quantity of objects) and at an unknown beforehand sampling, when data about research targets may be introduced during processing, and can be used for processing medical data samples of various origin. As a result of the proposed method, doctors will receive necessary information about the degree of closeness between objects, about the form of data distribution in the space of attributes and the amount of homogeneous groups (diagnoses) in a given sampling.

Author Biography

Ирина Геннадьевна Перова, Kharkiv National University of Radio Electronics Av. Lenina 14, Kharkov, Ukraine

Senior Lecturer

Department of Biomedical Ingeneering

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Published

2014-02-12

How to Cite

Перова, И. Г. (2014). Adaptive treatment of these mediсo-biological researches by methods of computational intelligence. Eastern-European Journal of Enterprise Technologies, 1(4(67), 24–28. https://doi.org/10.15587/1729-4061.2014.21202

Issue

Vol. 1 No. 4(67) (2014): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2014 Ирина Геннадьевна Перова

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