The information-theory analysis of Michaelis–Menten constants for detection of breast cancer

Blokh, David; Stambler, Ilia; Afrimzon, Elena; Shafran, Yana; Korech, Eden; Sandbank, Judith; Orda, Ruben; Zurgil, Naomi; Deutsch, Mordechai

doi:10.1016/j.cdp.2007.10.010

Cited by 20 publications

(25 citation statements)

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“…The present use of the uncertainty coefficient (normalized mutual information) as the measure of correlation [17] does not assume any limitations on the distribution and correlation of parameters. Using the uncertainty coefficient, interesting results have been obtained in medicine [17], and in particular in oncology [36][37][38]. The Newman-Keuls method for multiple comparisons has been further successfully used for the analysis of biomedical data [39][40][41].…”

Section: Discussionmentioning

confidence: 99%

Information Theoretical Analysis of Aging as a Risk Factor for Heart Disease

Blokh¹,

Stambler²

2015

Aging and disease

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ABSTRACT:We estimate the weight of various risk factors in heart disease, and the particular weight of age as a risk factor, individually and combined with other factors. To establish the weights we use the information theoretical measure of normalized mutual information that permits determining both individual and combined correlation of diagnostic parameters with the disease status. The present information theoretical methodology takes into account the non-linear correlations between the diagnostic parameters, as well as their non-linear changes with age. Thus it may be better suited to analyze complex biological aging systems than statistical measures that only estimate linear relations. We show that individual parameters, including age, often show little correlation with heart disease. Yet in combination, the correlation improves dramatically. For diagnostic parameters specific for heart disease the increase in the correlative capacity thanks to the combination of diagnostic parameters, is less pronounced than for the less specific parameters. Age shows the highest influence on the presence of disease among the non-specific parameters and the combination of age with other diagnostic parameters substantially improves the correlation with the disease status. Hence age is considered as a primary "metamarker" of aging-related heart disease, whose addition can improve diagnostic capabilities. In the future, this methodology may contribute to the development of a system of biomarkers for the assessment of biological/physiological age, its influence on disease status, and its modifications by therapeutic interventions.

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Section: Discussionmentioning

confidence: 99%

Information Theoretical Analysis of Aging as a Risk Factor for Heart Disease

Blokh¹,

Stambler²

2015

Aging and disease

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“…Such a rule would be based on all the individual values of Normalized Mutual Information of all the parameters involved in relation to the disease and can produce good diagnostic results. This capability was previously exemplified for the detection of breast cancer, building information-theoretical diagnostic models, combining a large set of parameters via the use of "decision trees" or "Weighted Hamming Distances" (Blokh et al, 2007;2008).…”

Section: Assessment Of a Combined Influence Of Parametersvital For Mmentioning

confidence: 99%

“…Moreover, it does not impose any constraints on the distribution of parameters, their interrelations and presentations. The suggested approach has been used for the solution of data processing problems in oncology (Blokh et al, 2007;2008;Blokh, 2013) and cardiology and biogerontology (Blokh and Stambler, 2014;2015). The method developed in (Blokh et al, 2007) is presented in the monograph (Gutierrez Diez et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Blokh¹,

Stambler²

2014

American Journal of Bioinformatics

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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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“…Normalized mutual information has been applied with significant results in various fields of medicine [8], in particular in oncology [9,10,11]. The approach was proposed earlier [9], as described in the monograph [12]. Using the method described in the present paper, a time series with the highest assessment of the possibility of future values prediction has been chosen from time series with the parameter "Change" of all companies of Tel Aviv 25 stock exchange.…”

Section: Introductionmentioning

confidence: 99%

“…On the one hand, this measure allows the estimation of nonlinear correlations between time series, and on the other, the comparison of functions of normalized mutual information of different time series. Normalized mutual information has been applied with significant results in various fields of medicine [8], in particular in oncology [9,10,11]. The approach was proposed earlier [9], as described in the monograph [12].…”

Section: Introductionmentioning

confidence: 99%