Research Article Open Access

Applying Information Theory Analysis for the Solution of Biomedical Data Processing Problems

David Blokh1 and Ilia Stambler2
  • 1 , Israel
  • 2 Bar Ilan University, Israel
Current Research in Bioinformatics
Volume 3 No. 1, 2014, 17-29

DOI: https://doi.org/10.3844/ajbsp.2014.17.29

Submitted On: 22 November 2014
Published On: 13 January 2015

How to Cite: Blokh, D. & Stambler, I. (2014). Applying Information Theory Analysis for the Solution of Biomedical Data Processing Problems. Current Research in Bioinformatics, 3(1), 17-29. https://doi.org/10.3844/ajbsp.2014.17.29

Abstract

The use of information-theoretical methods can be highly valuable for the solution of biomedical data processing problems. Some of the problems that can be solved by those methods include: The assessment of the influence of diagnostic parameters, biomarkers and risk factors, on the emergence of disease; the discretization of diagnostic parameters; the analysis of a combined influence of a group of parameters; the partition of a group of diagnostic parameters according to the amount of diagnostic information contained in those parameters; the analysis of the parameters' heterogeneity or variability and more. To illustrate the solution of those problems, we use a data base on diabetes patients. There are grounds to believe that an increasing application of information-theoretical methodologies in biomedical research will lead to significant practical dividends for diagnosis and therapy.

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Keywords

  • Information Theory
  • Bioinformatics
  • Biomedical Data Processing