@article {10.3844/ajbsp.2014.17.29, article_type = {journal}, title = {Applying Information Theory Analysis for the Solution of Biomedical Data Processing Problems}, author = {Blokh, David and Stambler, Ilia}, volume = {3}, year = {2015}, month = {Jan}, pages = {17-29}, doi = {10.3844/ajbsp.2014.17.29}, url = {https://thescipub.com/abstract/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.}, journal = {Current Research in Bioinformatics}, publisher = {Science Publications} }