THE PROBLEM OF EXTRACTING NEW KNOWLEDGE FROM THE STORAGE OF MEDICAL DATA. FIRST ANNOUNCEMENT

Authors

  • О. P. Mintser National Medical Academy of Post-Graduate Education named after P. L. Shupyk http://orcid.org/0000-0002-7224-4886
  • S. V. Denysenko National Medical Academy of Post-Graduate Education named after P. L. Shupyk
  • L. Yu. Babintseva National Medical Academy of Post-Graduate Education named after P. L. Shupyk

DOI:

https://doi.org/10.11603/mie.1996-1960.2012.2.182

Abstract

The questions of extracting useful and new knowledge of the constantly accumulating data in medical information systems are considered. Approaches to the discovery of new knowledge in the storage of medical data are analyzed. There is emphasized the idea of the need to minimize human intervention and production data analysis as possible automatically. In the first report it is described in more detail the data clustering methods.

References

Фролов Ю. В. Интеллектуальные системы и управленческие решения / Ю. В. Фролов. - М. : МГГО, 2000. - 294 с.

Berry M. J. A. Data Mining Techniques: For Marketing, Sales and Customer Relationship Management / M. J. A. Berry, G. S. Linoff. - 2nd ed. - USA : John Willey & Sons, Inc., 2004. - 643 p.

Bigus J. P. Data mining with Neural Networks: Solving Business Problems - From Application Development to Decision Support / J. P. Bigus. - New York : McGraw-Hill, 1996. - 174 p.

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Published

2012-12-13

How to Cite

Mintser О. P., Denysenko, S. V., & Babintseva, L. Y. (2012). THE PROBLEM OF EXTRACTING NEW KNOWLEDGE FROM THE STORAGE OF MEDICAL DATA. FIRST ANNOUNCEMENT. Medical Informatics and Engineering, (2). https://doi.org/10.11603/mie.1996-1960.2012.2.182

Issue

No. 2 (2012)

Section

Articles

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