Identification of dysfunctional states of medical systems by taxonometric method

DOI №______

Abstract

The need to accelerate the processes of identifying new dysfunctional states of a person is revealed. As a part of the previously unresolved problem, identification of the fact of the presence of a dysfunctional condition is determined. The notion of the danger of «zero day» is transferred from the field of cyber security to medicine. Threats of «zero day» are defined as the most complex. The problem is solved using the taxonomic method. It is suggested to reveal non-standard values and behavior of indicators of a person's state for revealing of dysfunctional states of a person. It is proposed to perform separate identification procedures for people of different ages who have suffered various diseases and are in different external conditions. The use of cluster analysis in various fields of human activity was analyzed. Taxonomic method was chosen for tasks of identification of dysfunctional states of a person. The preliminary values of the indicators were normalized by means of mathematical expectation and mean-square deviation of indicators. The taxonomic method allowed the creation of benchmarks in the absence of prior information on new types of dysfunctional states. Taking into account the specifics of the medical industry, the criteria for determining the reference objects have been adjusted. To do this, it is proposed to create a subset of 51-80 percent of the primary sample, which does not include values with the highest mean square deviations. The mathematical expectation of a new subset is taken as a benchmark. Also, the possibility of using as a distance from the standard of other measures in addition to the Euclidean distance was considered, namely: the measure of Chebyshev, Heming, power distance. The possibility of implementing the proposed approach on ordinary budget personal computers has been experimentally tested. Based on the simulation results, a dendrogram was constructed in which the numbers of observation objects are located horizontally, and their Euclidean distance from the reference in the space of indicators is vertically.

Keywords: dysfunctional states of man; threats of «zero day»; taxonometric method; etalon object.

References
1. ICD-10. International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. Volume 1 // Geneva: World Health Organization, 1992. 698 с.
2. WHO Historical Collection. Disease classifications and nomenclature documents [Електронний ресурс]. 2018. Режим доступу: http://www.who.int/library/collections/historical/en/index1.html
3. Shevchenko V., Shcheblanin Ju., Shevchenko A. The Epidemiological Approach to Prognosis and Management of Information Incidents // Наука і техніка Повітряних Сил Збройних Сил України. 2017. № 4(29). Р. 145–150.
4. Shevchenko V., Shevchenko A. The Epidemiological Approach to Information Security Incidents Forecasting for Decision Making Systems // 13-th International Conference Perspective Technologies and Methods in MEMS Design (MEMSTECH). Proceeding. Polyana. 2017. Р. 174–177.
5. Geiger D., Schulze T., Seedorf S. [a. o.]. Managing the crowd: towards a taxonomy of crowdsourcing processes [Електронний ресурс] // In Proceedings of the 17th Americas Conference on Information Systems (Sambamurthy V and Tanniru M, Eds), AIS, Detroit, MI. Режим доступу: https://pdfs.semanticscholar.org/ bb30/7fb8140d42e1a21c872eabfc9e400cf3347b.pdf
6. Hasan H. A taxonomy of modes of knowledge sharing between disparate group [Електронний ресурс] // In Proceedings of the 13th Pacific Asia Conference on Information Systems (Bapna R and Sambamurthy V, Eds), AIS, Hyderabad. Режим доступу: https://pdfs.semanticscholar.org/04c9/7b30378b1ff0050cc003d212612847cd335e.pdf
7. Nickerson R., Varshney U., Muntermann J. and Isaac H. Taxonomy development in information systems: developing a taxonomy of mobile applications [Електронний ресурс] // In Proceedings of the European Conference on Information Systems. Режим доступу: https://halshs.archives-ouvertes.fr/file/index/docid/375103/filename/ECIS_2009_taxonomy_final_3.pdf
8. Nickerson R., Muntermann J. and Varshney U. Taxonomy development in information systems: a literature survey and problem statement [Електронний ресурс] // In Proceedings of the 16th Americas Conference on Information Systems. Режим доступу: https://pdfs.semanticscholar.org/f75d/d219dde068353678c69877fb5dfd7db12c95.pdf
9. López T. S. Taxonomy, technology and applications of smart objects [Електронний ресурс] / López T. S., Ranasinghe D. C., Patkai B. and Mcfarlane D. // Information Systems Frontiers 11(4),
1–20. Режим доступу: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.838.4246&rep=rep1&type=pdf
10. Ducasse S. and Pollet D. Software architecture reconstruction: a process-oriented taxonomy [Електронний ресурс] // IEEE Transactions on Software Engineering 35(4), 573–591. Режим
доступу: http://ieeexplore.ieee.org/document/4815276/?reload=true
11. Krug S., Campidelli H. and Nickerson R. C. A preliminary taxonomy for software failure impact: categorizing the impact on enterprises when software fails [Електронний ресурс] // In Proceedings of the 18th Americas Conference on Information Systems (Jessup L and Valacich J, Eds), Seattle, Washington. Режим доступу: https://pdfs.semanticscholar.org/7e13/cf2f-
1148b227fa465b22f984cf8f54e4c2e3.pdf
12. Nickerson R., Varshney U. & Muntermann J. A Method for Taxonomy Development and Its Application in Information Systems [Електронний ресурс] // Europ. Journ. of Information Systems.
May 2013, Vol.22, Issue 3, P. 336–359. Режим доступу: https://doi.org/10.1057/ejis.2012.26
13. Шалаева О. А., Колеснев В. И. Таксонометрический метод рейтинговой оценки деятельности различных типов и форм сельскохозяйственных организаций [Електронний ресурс]
// Проблемы экономики (Белорусская гос. с/хоз. акад.) 2011. С. 237–244. Режим доступу: h t t p s : / / c y b e r l e n i n k a . r u / a r t i c l e / n /taksonometricheskiy-metod-reytingovoyotsenki-
deyatelnosti-razlichnyh-tipov-i-formselskohozyaystvennyh-organizatsiy
14. Шевченко А. В., Шевченко В. Л. Грубі моделі розвитку в медицині // Медична інформатика та інженерія. 2009. №4. С. 52–55.
15. Шевченко В. Л. Оптимізаційне моделювання в стратегічному плануванні. Київ, 2011. 283 с.