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Diagnosis of a Disease Using the Values of Statistical Functionals Calculated from Infrared Spectroscopic Parameters of Blood

Diagnosis of a Disease Using the Values of Statistical Functionals Calculated from Infrared Spectroscopic Parameters of Blood

Kogan L.P., Kislitsyn I.D., Krasnikova O.V., Medyanik I.A., Gordetsov A.S.
Key words: IR spectroscopy of blood; probability density; characteristic function.
2017, volume 9, issue 4, page 25.

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The aim of the study was to identify the characteristics of statistical functionals calculated from the set of infrared (IR) spectroscopic parameters of the blood obtained from a blood sample of a patient.

Materials and Methods. A single-blind prospective cohort study was conducted in 43 patients with malignant brain formations hospitalized in the Nizhny Novgorod Interregional Neurosurgical Center and at the Privolzhsky Federal Medical Research Center between 2009 and 2013. The patients’ blood serum samples were analyzed using IR spectroscopy. Based on the obtained IR parameters of the blood, the values of statistical functionals for each individual patient were calculated.

Results. We found that the statistical functionals could significantly change their properties even in the presence of a small random factor associated with the disease and statistically independent of the parameter values typical for normal health.

Conclusion. The hypothesis of characteristic changes in the statistical functionals (calculated from the set of IR spectroscopic parameters of blood) reflecting the individual blood analysis of a patient is confirmed. The numerical limits of the values of these functionals are determined. The presented approach allows one to conclude with a high probability on the presence or on the absence of the disease in the tested individual.

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Kogan L.P., Kislitsyn I.D., Krasnikova O.V., Medyanik I.A., Gordetsov A.S. Diagnosis of a Disease Using the Values of Statistical Functionals Calculated from Infrared Spectroscopic Parameters of Blood. Sovremennye tehnologii v medicine 2017; 9(4): 25, https://doi.org/10.17691/stm2017.9.4.03


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