Issue 1 (195), article 5

DOI:https://doi.org/10.15407/kvt195.01.064

Kibern. vyčisl. teh., 2018, Issue 1 (195), pp.

Kaplin I.V.1, ophthalmologist of the Kyiv Center for Eye Therapy and Microsurgery, PhD student of the Ophthalmology Department
e-mail: smashdown@mail.ru

Kochina M.L.2, DSc. (Biology), Professor,
Head of the Medical and Biological Basics of Sports and Physical Rehabilitation Department,
e-mail: kochinaml@gmail.com

Demin Yu.A.1, DSc. (Medicine), Professor,
Head of Ophthalmology Department,
e-mail: deminprof@gmail.com

Firsov A.G.3, PhD (Technics), Chief Designer
e-mail: shagrath.hire@gmail.com

1 Kharkiv Medical Academy of Postgraduate Education,
58, Amosova str., Kharkiv, Ukraine, 61000

2 Petro Mohyla Black Sea National University
10, 68-Desantniv str., Mykolaiv, Ukraine, 54000

3 ASTER-AITI, LTD
1, Aviation str., ap.7, Kharkiv, Ukraine, 61166

THE SYSTEM OF INTRAOCULAR PRESSURE ASSESSMENT USING INTERFERENCE EYE PICTURES

Introduction. According to the World Health Organization (WHO), glaucoma accounts for 4–5% of the total ocular pathology, making it one of the most common eye diseases in the world. The first sign of the disease is a constant or periodic increase in intraocular pressure, which leads to the development of visual field defects, optic nerve atrophy, and dystrophic changes in eye tissues. Detection of glaucoma and ocular hypertension is done by measuring the intraocular pressure, which is the standard procedure for diagnosis of the condition of eyes in all patients over 40 years of age. Patients with a diagnosis of “glaucoma” should constantly measure the intraocular pressure, which is necessary to control the effectiveness of treatment, its correction and evaluation of the effectiveness of drugs.
The purpose of the article is to develop the system for assessing the intraocular pressure level using the interference pictures parameters observed on the eye cornea in the polarized light.
Results. The proposed system of two-level classification of the intraocular pressure level, which contains a pair of complementary fuzzy models, formalized in the form of logical rules and sets of numerical parameters of functions (membership and conclusion), and additional decisive rules that consist of a regression equation and a classification criterion.
Such a hybrid system adequately reflects the general communication of adjusted interference picture parameters with a measured value of intraocular pressure by classical Goldman tonometry, which allowed offering it to practical use as a basis for intraocular pressure express assessment.
Conclusion. Using the developed software module evaluation of intraocular pressure, based on the proposed concept of express assessment of intraocular pressure, integrates fuzzy models and decisive rules allowing to improve the results of glaucoma treatment at early detection of high level of intraocular pressure.

Keywords: intraocular pressure, central eye cornea thickness, interference pictures, express assessment.

Download full text!

REFERENCES

1. Tham Y.C., Li X., Wong T.Y., Quigley H.A., Aung T., Cheng C.Y. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology. 2014; 121:2081-90. https://doi.org/10.1016/j.ophtha.2014.05.013

2. Leske M. C. Ocular perfusion pressure and glaucoma: clinical trial and epidemiologic findings. Curr. Opin. Ophthalmol. 2009. Vol. 20, N 2. P. 73-78. https://doi.org/10.1097/ICU.0b013e32831eef82

3. Howard D. L., Kim M. M., Hartnett M. E. Predicting glaucoma diagnosis in an elderly sample: revisiting the established populations for epidemiologic studies of the elderly. J Natl Med Assoc .2011. Vol. 103. P. 332-341. https://doi.org/10.1016/S0027-9684(15)30314-X

4. Day A.C., Baio G., Gazzard G.The prevalence of primary angle close glaucoma in European derived population: a systematic review. Br J Ophthalmol. 2012. Vol. 96. P. 1162-1167. https://doi.org/10.1136/bjophthalmol-2011-301189

5. Ravi Thomas. Glaucoma a in developing countries. Indian J Ophthalmol. 2012. Vol. 60. 5. P. 446-450. https://doi.org/10.4103/0301-4738.100546

6. Rykov S.A., Vitovskaya O.P., Stepanyuk G.I. Incidence, prevalence of ophthalmopathology and eye disability in Ukraine. News of Glaucoma. 2009. No. 1. 34-35. (in Russian)

7. Povch Z.V. Contemporary regional features and dynamics of glaucoma morbidity of adult population of Ukraine, gender aspects. Health of Society. 2014.1 2. P. 36-40. (in Ukrainian) https://doi.org/10.22141/2306-2436.3.1-2.2014.121649

8. Povch Z.V. Approaches to improving the glaucoma prevention taking into account the regional peculiarities of its prevalence among different age groups of the population of Ukraine. Health of Society. 2014. 1-2. P. 79. (in Ukrainian)

9. Rykov S.O. Medvedovskaya N.V., Troyanov D.P. Current state and dynamics of glaucoma incidence among adult population of Ukraine. Ukraine. The health of the Nation. 2012. 2-3. P. 119-121. (in Ukrainian)

10. Rykov S.A., Shargorodskaya I.V., I.I. bakdardin, Simchuk I.V. Diagnosis and treatment of glaucoma. Supplement to lectures; ed. S.O. Rykova. [2nd ed.]. K.: LLC “Firm ASAVA”, 2014. 72p. (in Russian)

11. Kaplin I.V., Kochina M.L., Demin Y.A., Firsov A.G. The conception of telemedicine system for express estimation of intraocular pressure’s level. Cybernetics and Computer Engineering. 2018. No 1 (191). P. 76-94. (in Ukrainian) https://doi.org/10.15407/kvt191.01.076

12. Brandt J. D., Gordon M.O., Beiser J. A. The Ocular Hypertension Treatment Study (OHTS) Group. Adjusting Intraocular Pressure for Central Corneal Thickness Does Not Improve Prediction Models for Primary Open-Angle Glaucoma .Ophthalmol. 2012. Vol. 119(3). P. 437-442. https://doi.org/10.1016/j.ophtha.2011.03.018

13. Egorov E.A., Vasina M.V. The influence of the cornea thickness on the level of intraocular pressure among various groups of patients. Clinical Ophthalmology. 2006. No. 1. P. 16-19. (in Russian)

14. Eremina M.V., Erichev V.P., Yakubova L.V. The influence of the central thickness of the cornea on the level within the eye pressure is normal and with glaucoma (overview). Glaucoma. 2006. No. 4. P. 78-83. (in Russian)

15. Alekseev V. N., Litvin I. B. The influence of corneal thickness on the level of intraocular pressure and prognosis in primary open-angle glaucoma. Clinical ophthalmol. 2008. No. 4. P. 130-132. (in Russian)

16. Avetisov S.E., Petrov S.Yu., Bubnov I.A. Influence of the central cornea thickness on the results of tonometry (review of literature). Vestn. Ophthalmol. 2008. No. 5. P. 3-7. (in Russian)

17. Kochina M.L., Demin Y.A., Kaplin I.V., Kovtun N.M. Model of stress-deformation status of the eye corneaEast European Scientific Journal. 2017. 2(18). P. 61-66.

18. Shtovba S.D. Designing fuzzy systems by means of MATLAB. Horiachaia liniia – Telecom. M., 2007. 288p with pictures. (in Russian)

19. Yager R., Filev D. Essential of Fuzzy Modeling and Control. John Willey & Sons, 1994. 388 p.

20. Open source software for numerical computation. Access mode: http://www.scilab.org/ (Last accessed: 21.06.2018.)

21. Fuzzy Logic Toolbox. Access mode: http://atoms.scilab.org/toolboxes/sciFLT/0.4.7 (Last accessed: 21.06.2018)

22. Fuzzy Logic Library for Microsoft .Net Access mode: https://sourceforge.net/projects/fuzzynet/ (Last accessed: 21.06.2018)

Received 03.12.2018

Issue 1 (191), article 5

DOI:https://doi.org/10.15407/kvt191.01.076

Kibern. vyčisl. teh., 2018, Issue 1 (191), pp.

Kaplin I.V.1, Ophthalmologist of the Kyiv Center of Therapy and Microsurgery of Eye,
Postgraduate student of department of ophthalmology
e-mail: smashdown@mail.ru
Kochina M.L.2, Dr (Biology), Professor,
Head of Department of Medical and Biological Bases of Sport
and Physical Rehabilitation
e-mail: kochinaml@gmail.com
Firsov A.G.3, PhD (Engineering),
Main Designer of LLC “ASTER-IT”
e-mail: shagrath.hire@gmail.com
1Kharkov Medical Academy of Postgraduate Education,
Аmosov st, 58, Kharkiv, 61000, Ukraine
2 Petro Mohyla Black Sea National University,
68 Marines st., 10, Mykolay, 54003, Ukraine
3 Limit Liability Company “ASTER-IT”,
Aviation st., 1, ap. 7, Kharkov, 61166, Ukraine

THE CONCEPTION OF TELEMEDICINE SYSTEM FOR EXPRESS ESTIMATION OF INTRAOCULAR PRESSURE’S LEVEL

Introduction. One of the reasons for the unfavorable outcome of glaucoma is an incorrect evaluation of the eye hydrodynamics data obtained by measuring intraocular pressure. That is why the development of new non-invasive methods of intraocular pressure studying is an urgent task. The cornea is optically anisotropic due to the effects of direct extraocular muscles and intraocular pressure on it, as well as the structure and properties of corneal collagen. When an eye cornea is illuminated by polarized light, we can observe an interference pattern which reflects the distribution of internal stresses in it. The parameters of interference patterns depend on the level of intraocular pressure.
The purpose of the article is to develop the telemedicine system’s conception for express estimation of intraocular pressure level with the use of interference pictures that are observed on glaucoma patients’ cornea in polarized light.
Results. The method for determining the interference parameters is performed in several stages in accordance with the developed algorithm. First, after receiving a color picture of interference pattern, its brightness is normalized and converted to monochrome. At the second stage, the cornea borders are fixed by means of two mode indicators, after which the contour is automatically applied to the image. At the third stage, the isochromatic contour is labeled using an adjustable ring pointer, which allows defining the isochrome width middle and standardizing the studies. After marking out the contour of the isochrome using splines, the isochrome itself is modeled. At the fourth stage, there is an automated calculation of the pixels forming the isochrome and filling the inner part.
Conclusions. To assess the level of intraocular pressure using interference patterns, it is necessary to determine their parameters, which can be performed in a semi-automated mode. The developed method provides a resolving power of at least 0.55 mm/pixel (3 times better than the known one) and reduces the research time by 11–15 times. It is not labor-intensive and can be implemented in the central regional hospital.

Keywords: telemedical system, polarized light, interference patterns, isochromes, parametrization.

Download full text (ua)!

REFERENCES

1 Rykov S.A., Vitovskaya O.P., Stepaniuk G.I. Morbidity, prevalence of ophthalmopathology and disability due to it in Ukraine. News of Glaucoma. 2009. No 1. P.34–35 (in Russian).

2 Vodovozov A.M., Kovylin V.V. Use of the polarization-optical method for diagnosing the state of oculomotor muscles with vertical deviation. Ophthalmological Journal. 1990. No 4. P. 201–204 (in Russian).

3 Method of intraocular pressure measurement: pat. 33640, Ukraine: IPC A 61 V 3/16, A 61 V 8/10. Nou 2007 11716; claimed 23.10.2008; published 10.07.2008 Bull. No 13. 4 p.

4 Kochina M.L., Kalimanov V.G. Methods of image processing for automation of pathology diagnosis of extraocular muscles. Applied Radioelectronics. 2008. Vol. 7, No 1. P. 93–96 (in Russian).

5 Kochina M.L., Kaplin I.V., Kovtun N.M. Results of polarized light using in the eye studying. Bulletinon the Problems of Biology and Medicine-2014. Iss. 4, vol. 1 (113). P. 139–145 (in Russian).

6 Penkov M.A., Kochina M.L. Interference method in the diagnosis of strabismus. Ophthalmological Journal. 1979. No 8. P. 497–498 (in Russian).

7 Penkov M.A., Kochina M.L Interference method in the diagnosis of strabismus. Bulletin of Ophthalmology. 1981. No 1. P. 39–41 (in Russian).

8 Penkov M.A., Kochina M.L. Application of polarized light in ophthalmology (review). Ophthalmological Journal. 1981. No 6. P. 368–372 (in Russian).

9 Penkov M.A., Tamarova R.M., Kochina M.L. Polarization method of studying the eye cornea. News of Medical Technology: a collection of articles. Moscow, 1982. Iss. 1. P. 27–30 (in Russian).

10 Zandman F. The photoelastic effect of the living eye. Experim. Mechanics. 1966. Vol. 6, No 5. P. 19–25. https://doi.org/10.1007/BF02327314

11 Bour L.J. Lopez Cardozo N.J. On the birefringence of the living human eye. Vision Res. 1981. Vol. 21, No 9. P. 1413–1421. https://doi.org/10.1016/0042-6989(81)90248-0

12 Komai Y., Ushiki T. The three dimensional organization of collagen fibrils in the human cornea and sclera. Invest. Ophthalmol. Vis. Sci. 1991. Vol. 32, No 8. P. 2244–2257.

13 Stanworth A., Naylor E.J.Polarized light studies of the cornea. The isolated cornea. J. Exp. Biol. 1953.Vol. 30. P. 160–163.

14 Penkov M.A., Kochina M.L. Method of diagnosing the pathology of intraocular pressure. Ophthalmological Journal. 1981. No 8. P. 476–479 (in Russian).

15 Cogan D.C. Some ocular phenomena produced with polarized light. Arch. Ophthalmol. 1941. Vol. 25, No 3. P. 391–400. https://doi.org/10.1001/archopht.1941.00870090013001

16 Cope W.T., Wolbarsht M.L., Yamanashi B.S. The corneal polarization cross. J. Opt. Soc. Am. 1978. Vol. 68, No 8. P. 1139–1141. https://doi.org/10.1364/JOSA.68.001139

17 Anderson K., El-Sheikh A., Newson T. Application of structural analysis to the mechanical behavior of the cornea. J.R. Soc. Interface. 2004. Vol. 1. P. 1–15. https://doi.org/10.1098/rsif.2004.0002

18 Kochina M.L., Kalimanov V.G. Investigation and modeling of the polarization-optical properties of the eye cornea in various states of extraocular muscles. Bionics of the intelligence. 2008. No 2 (69). P. 132–137 (in Russian).

19 Shaffer R.N., Lieberman M. F., Drake M.V. Becker-Shaffer’s Diagnosis and Therapy of the Glaucomas. Mosby, 1999. 716 p. No 1. P. 34–35.

20 Rao H.L., Senthil S., Garudadri C.S. Contralateral intraocular pressure lowering effect of prostaglandin analogues. Indian J Ophthalmol, 2014. Vol. 62. P. 575–579. https://doi.org/10.4103/0301-4738.129783

Received 30.11.2017

Issue 185, article 6

DOI:https://doi.org/10.15407/kvt185.03.060

KVT, 2016, Issue 185, pp.60-76

UDC 617.751-057-07

THE ASSESMENT OF CONNECTION STRUCTURE BETWEEN THE FUNCTIONAL INDEXES OF PC OPERATORS DURING THE VISUAL WORK WITH FACTOR MODELS’ USE

Evtushenko A.S.1, Kozak L.M.2, Kochina M.L.3

1Kharkiv Municipal Clinical Hospital №14 named by Prof. L.L. Girshman, Kharkiv, Ukraine

2International Reasearch and Training Center for Information Technologies and Systems of National Academy of Science and Ministry of Science of Ukraine, Kyiv, Ukraine

3Kharkiv Medical Academy of Postgraduate Education, Kharkiv, Ukraine

andrey-eye@yandex.ru , lmkozak52@gmail.com , m_kochina@yahoo.com

Introduction. PC operators’ work is connected to necessity of information large amounts perception from PC display. Such activities require of high attention concentration and particular responsibility for production goals. Arduous visual work of PC operators on close distance results in high psychoemotional stress and exerts an impact on functional state. Severe visual asthenopias in PC operators may be observed on the background of normal values of visual system’s functional indexes that require of such states causes determination for prophylaxis measures development.

The purpose of the article is to evaluate the impact of the visual work at close distance on the structure of relationships between visual system’s indexes and functional state’s indexes.

Methods. 41 PC operators took part in the study. The average age of study subjects was (29,6 ± 4,0) y.o. The functional indexes of visual system were measured in all PC operators before and after visual work. The indexes of functional state were also measured by self-assessment using developed questionnaire. The obtained results processing was performed using descriptive statistics methods, cluster and factor analysis.

Results. On the background of performed research using clustering and factor analysis it was found that younger PC operators with higher visual functions the visual work on close distance results in state similar to spasm of accommodation. The recovery after night rest was worse than in PC operators with low visual functions. Older PC operators have higher quality of recovery after night rest. It may be determined by development of visual fatigue as the result of visual work . The recovery after night rest in case of visual fatigue is better than in case of accommodation spasm.

Conclusion. Visual work on close distance results in configuration change of connection between indexes of visual system that support visual perception. The peculiarities of these changes depend on visual system’s indexes. The results of PC operators functional state’s self-assessment using the questionnaire developed by us had shown that in PC operators with low functional possibilities the common and visual complaints rate was certainly lower than in operators with high functional possibilities.

Keywords: factor models, visual system, functional state, PC operator work.

Download full text (ru)!

References:

1 Danilichev V.F. Sovremennaya oftal’mologiya: rukovodstvo. Izd. Dom “Piter”, 2009, 684p.

2 Dyadina U.V., Rozenblyum YU.Z. Prichiny i mekhanizmy astenopii. Vestnik optometrii, 2003,Vol.1, No3, pp. 26–28.

3 Yemel’yanov G.A. Sostoyaniye akkomodatsii kak indikator sindroma khronicheskoy ustalosti u patsiyentov zritel’no-napryazhennogo truda. Kataraktal’naya i refraktsionnaya khirurgiya, 2013, No1, pp. 23–25.

4 Yemel’yanov G.A., Shchukin S.YU. Sub”yektivnyye narusheniya akkomodatsionno-refraktsionnoy sistemy glaza u cheloveka-operatora zritel’no-napryazhennogo truda.Voyenno-meditsinskiy zhurnal, 2012, Vol.133, No 2, pp.60–62.

5 Yemel’yanov G.A., Gusev YU.A., Kapkova S.G. Dinamika ob”yektivnykh pokazateley akkomodatsii u lits bez patologii organa zreniya v protsesse zritel’no-napryazhennogo truda.Innovatsionnyye tekhnologii v oftal’mologichesko y praktike regionov, Astrakhan’, 2012, pp. 62–63.

6 Kal’nishV.V., Yena A.I. Sovremennoye sostoyaniye professional’nogo psikhofiziologicheskogo otbora v Ukraine. Meditsina truda i promyshlennaya ekologiya, 2006, No 3, pp. 12–17.

7 Kochina M.L., Kozak L.M., Yevtushenko A.S. Analiz izmeneniya faktornykh strukturpokazateley funktsional’nogo sostoyaniya cheloveka pri raznykh vidakh zritel’noy nagruzki. Visnik problem biologii i meditsini, 2013, Vol. 1, No1(98), pp. 41–45.

8 Ovechkin I.G. et.al. Akkomodatsionnyye narusheniya u lits zritel’no-napryazhennogo truda s yavleniyami psikhologicheskoy dezadaptatsii. Rossiyskiy oftal’mologicheskiy zhurnal, 2014, No1, pp.39–41.

9 Ovechkin I.G., Ragimova N.R. Issledovaniye dinamiki funktsional’nogo sostoyaniya sensornogo otdela zritel’nogo analizatora v protsesse professional’noy deyatel’nosti na personal’nom komp’yutere. Oftal’mologiya, 2010, Vol.7, No4, pp. 32–35.

10 Ovechkin I.G. et. al. Primeneniye funktsional’noy korrektsii organa zreniya patsiyentam-operatoram zritel’nogo profilya s pozitsiy sovremennykh trebovaniy k meditsinskoy reabilitatsii. Rossiyskiy oftal’mologicheskiy zhurnal, 2015, Vol.8, No1, pp. 90–97.

11 Yevtushenko A.S., Kozak L.M., Kochina M.l. et.al. Rezul’taty otsenki funktsional’nogo sostoyaniya cheloveka pri zritel’nom trude. Svit meditsini ta biologii, 2015, No 2, pp. 39–44.

12 Rozenblyum YU.Z., Kornyushina T.A., Feygin A.A. Professional’naya oftal’mopatiya. Meditsina truda i promyshlennaya ekologiya, 1995, No4, pp. 14–16.

13 Somov Ye.Ye. Metody oftal’moergonomiki. AN SSSR, otdeleniye fiziologii. L. : Nauka, 1989, 157 p.

14 Shakula A.V., Yemel’yanov G.A. Otsenka sostoyaniya akkomodatsii i “kachestva zhizni” u patsiyentov zritel’no-napryazhennogo truda s rasstroystvami psikhologicheskoy adaptatsii. Vestnik vosstanovitel’noy meditsiny, 2013, No4, pp. 52–56.

15 Shapovalov S.L., Milyavskaya T.I., Ignat’yev S.A. Akkomodatsiya glaza i yeye narusheniya. Izd-vo: MiK, 2012, 188 p.

16 Shapovalov S.L., Aleksandrov A.S. Materialy k probleme zritel’nogo utomleniya u operatorov videodispleynykh terminalov. M. : GKVG im. Akademika N.N. Burdenko, 1999, 174 p.

17 Anshe, J. Accomodation for computer users … and more. Optometry, 2002, Vol.73, No7, pp.405–406.

18 Collins M., Davis B., Atchison D. VDT screen reflections and accomodation response. Ophthical. Physiol. Opt., 2004, Vol.14, N4, pp.193–198.

19 Mocci F., Serra A., Corrias G.A. Psychological factors and visual fatigue in working with video display terminals. Occup. Environ. Med, 2001, Vol.58, No4, pp. 267–271. https://doi.org/10.1136/oem.58.4.267

Received 20.05.16

Issue 183, article 6

DOI:https://doi.org/10.15407/kvt183.01.080
Gorban Andrey E., PhD (Medicine), Director of Ukrainian Centre of Scientific Medical Information and Patent-Licence Provision of Ministry of Health of Ukraine, av. Moskovska, 19, Kiev, 04655,
e-mail: minf@ukr.net

Kochina Marina L., Dr of Biology, Prof., Professor of Clinical Informatics and Information Technologies Department of Kharkiv Medical Academy of Postgraduate Education, Korchagincev st., 58, Kharkov, 61176,
e-mail: m_kochina@yahoo.com

FORECASTING MODEL OF INNOVATIVE EFFICIENCY OF RESEARCH WORK IN THE HEALTH CARE. Kibernetika i vyčislitel’naâ tehnika, 2016, issue 183, pp. 79-91

Introduction. When planning research work (research) predicting the effectiveness of its innovative performance, which is crucial in determining the prospects of its funding is of great importance.

The purpose of the article is to give scientific substantiation and development of forecasting model of innovative efficiency of research.

Methods. Scoring system developed by the scientific research results and products, the scale of expert assessments were used. To construct forecasting model of fuzzy logic was used.

Results. The usage of fuzzy logic revealed informative indicators for predicting of the innovative effectiveness of research, which include peer reviews: the novelty of the research, the expected medical effect of the introduction of the results, level of methodical and material base of research, qualification of basic performers. The usage of the model of expert estimates forecast the effectiveness of research at the planning stage.

Conclusion. The usage of this method of scoring the results of research and forecasting model of its effectiveness can be the basis for a decision on the financing of the work at the planning stage and allow us to determine the rating of scientific staff at its completion.

Keywords: forecasting model, fuzzy logic, innovation efficiency, the research work.

Download full text (ru)!

References

1 Horban’ A.Ye., Zakrut’ko L.I., Myslyts’kyy O.V. Analitychna otsinka innovatsiynoyi ta vynakhidnyts’koyi diyal’nosti u sferi okhorony zdorov”ya Ukrayiny u 2013 rotsi. Klin. ta eksperym. Patol, 2014, T. XIII, No 1 (47), pp. 3–7. (in Ukrainian)

2 Horban’ A.Ye. Stan innovatsiynoyi diyal’nosti u sferi okhorony zdorov”ya. Rehional’na innovatsiyna stratehiya ta stalyy ekonomichnyy rozvytok: nauk. konf., 5 lyp. 2012 r., Kyiv: materialy, 2012. pp.34–35. (in Ukrainian)

3 Zakon Ukrayiny “Pro priorytetni napryamy rozvytku nauky i tekhniky” vid 11.07.2001 roku No 2623-111 (iz zminamy). Available at: http // zakon2.rada.gov.ua / laws/show/2623-14 (in Ukrainian)

4 Horban’ A.Ye., Zakrut’ko L.I., Vasylenko L.V. et.al. Optymizatsiya innovatsiynoyi diyal’nosti u sferi okhorony zdorov”ya Ukrayiny. Intelektual’na vlasnist’ v Ukrayini, 2012, No 10, pp. 11–15. (in Ukrainian)

5 Lazoryshynets’ V.V., Volosovets’ O.P., Kochet O.M. et.al. Pytannya pidvyshchennya efektyvnosti innovatsiynoyi ta vynakhidnyts’koyi diyal’nosti y rozvytku transferu medychnykh tekhnolohiy u sferi okhorony zdorov”ya Ukrayiny. Ukrayins’kyy medychnyy chasopys, 2014, No 4 (102), pp. 142–145. (in Ukrainian)

6 Horban’ A.Ye. Uprovadzhennya dosyahnen’ medychnoyi nauky v praktyku okhorony zdorov”ya z vykorystannyam suchasnykh informatsiynykh tekhnolohiy. Lik. sprava. Vracheb. Delo, 2012, No 3–4, pp. 109–112. (in Ukrainian)

7 Borysov V.V., Kruhlov V.V., Fedulov A.S. Nechetkye modely y sety. Moscow: Horyachaya lynyya, Telekom, 2007, 284 p. (in Russian)

8 Bryantsev Y.N. Data Mining. Teoryya y praktyka. Moscow: BDTs–Press, 2006, 208 p. (in Russian)

9 Leonenkov A.V. Nechetkoe modelyrovanye v srede MATLAB y fuzzyTECH. SPb.: BKhV-Peterburh, 2005, 736 p. (in Russian)

10 Mamdani E.H., Assilian S. An experiment in linguistic synthesis with fuzzy logic controller. J. Man-Machine Studies,1975, Vol. 7, No 1, pp. 1–13. https://doi.org/10.1016/S0020-7373(75)80002-2

11 Shtovba S.D. Proektyrovanye nechetkykh system sredstvamy MATLAB. Moscow: Horyachaya lynyya, Telekom, 2007, 288 p. (in Russian)

Received 14.12.2015