Specialized programmable calculator for laboratory test clinical informativeness estimate

Article Sidebar

PDF (Українська)
DOI: https://doi.org/10.20998/2522-9052.2020.2.12
Keywords:
evidence-based medicine, laboratory test informativeness, two-by-two table, specialized programmable calculator

Main Article Content

Svitlana Gadetska
Kharkiv National Automobile and Highway University, Kharkiv
https://orcid.org/0000-0002-9125-2363
Valeriy Dubnitskiy
Kharkiv Educational Scientific institute SHEI “University of Banking”, Kharkiv
https://orcid.org/0000-0003-1924-4104
Alexander Khodyrev
Kharkiv Educational Scientific institute SHEI “University of Banking”, Kharkiv
https://orcid.org/0000-0001-9871-9440

Abstract

The purpose of the work is to develop a specialized software calculator for assessing the clinical informativeness of laboratory tests. Methodological basis for calculator development served one of evidence-based medicine methods – two-by-two table analysis. Calculator gives to medicos an instrument to estimate laboratory test diagnostic value criteria on the basis of MS Office package in any version. Developed guidelines permit users with minimum MS Excel proficiency to create respective calculator themselves. Specialized programmable calculator consists of two units which may operate in any succession by user’s choice. Two-by-two table analysis has been developed that. It is based on the criterion c2 and determines the statistical significance of the diagnostic quality assessment of the test. A block for determining indicators of clinical informativeness of the test has been developed. These indicators are as follows: priori probability of malady; clinical sensitivity; clinical specificity; probable value of positive result; probable value of negative result; diagnostic efficiency; likelihood ratio of positive result; likelihood ratio of negative result. Final conclusions and professional interpretation of calculation results should be made by specialists in medical-biological research.

Article Details

How to Cite
Gadetska, S., Dubnitskiy, V., & Khodyrev, A. (2020). Specialized programmable calculator for laboratory test clinical informativeness estimate. Advanced Information Systems, 4(2), 80–84. https://doi.org/10.20998/2522-9052.2020.2.12
Issue
Vol. 4 No. 2 (2020): Advanced Information Systems
Section
Methods of information systems synthesis
Author Biographies

Svitlana Gadetska, Kharkiv National Automobile and Highway University, Kharkiv

PhD in Physics and Mathematics, Associate Professor, Associate Professor of Department of Higher Mathematics

Valeriy Dubnitskiy, Kharkiv Educational Scientific institute SHEI “University of Banking”, Kharkiv

PhD in Technical Sciences, Senior Researcher, Senior Researcher

Alexander Khodyrev, Kharkiv Educational Scientific institute SHEI “University of Banking”, Kharkiv

Senior Instructor of the Information Technologies Department

References

(2020), Sites of evidence-based medicine, available to:

http://www.medlib.dp.gov.ua/jirbis2/ua/chronicle/157-korisni-posilannya/575-sajti-z-dokazovoji-meditsini.html

Dubnitskiy, V.Yu., Kharchenko, S.V. and Khodyrev, A.I. (2016), “Modeling the epidemic process of peptic ulcer taking into account time factors and the level of administrative – territorial division”, Information Processing Systems, No. 3 (140). pp. 187 – 193.

Dubnitskiy, V.Yu. and Kharchenko, S.V. (2016), “Prediction of mortality from gastric and duodenal ulcer for various sex-age groups in Ukraine”, Medical perspectives, Vol. XXI, pp. 134–139.

Babich, P.N. (2004), “Application of modern statistical methods in the practice of clinical research. The message is second. Application of the chi - square criterion”, Ukraїns'kij medichnij chasopis, No.2 (40) – III / IV, pp. 138–144.

Biriukov, V.S. (2015) “Evidence-based assessment of sensitivity and specificity in general clinical laboratory studies in some collagenoses”, Collection of scientific works of employees of the National Medical Academy of Postgraduate Education. Thug, No 24 (2), pp. 136– 140.

Zaks, L. (1976), Statistical evaluation, STATISTICS, Moskow, 598 p.

Lapach, S.N., Chubenko, A.V. and Babich, P.N. (2002), “Statistical evaluation in science and business”, MARION, Kyiv, 640 p.

GOST R 53022.3 – 2008. (2009), Quality requirements for clinical laboratory. research. Part 3. Rules for evaluating the clini-cal informativeness of laboratory tests, Standartinform, Moscow, 22 p.