Issue 2 (192), article 4


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Buzynovsky А.B.1,
PhD student,
Kovalenko A.S.1,
D.Sci. (Medicine), Professor,
Head of Medical Information Systems Department
Bayazitov N.R.2,
D.Sci. (Mdicine),
Professor at the Surgery Department
Godlevsky L.S.2,
D.Sci. (Medicine), Professor,
Chief of the Department of Biophysics, Informatics and Medical Devices

1International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine
2Odessa National Medical University,
Valekhovsky Lane, 2, Odessa, 65082, Ukraine


Introduction. The problem of correct diagnostics with the decision on the consequent adequate treatment of diseases which are causative for pelvic pain syndrome in women is actual for 15–24% women of fertile age.
The purpose of the work is to investigate the effectiveness of different methods of treatment women with pain syndrome originated from pelvis and lower part of abdomen on the basis of retrospective analysis of 1092 histories of diseases during 2013–2017 р.р.
Methods. Method of decision tree building up was used. The probability of different outcomes — restoration of health, recurrence of the disease along with the perioperative complications as well as duration of treatment in each case were taken into consideration as informative indices for decision tree composing. On the basis of mentioned data the index of effective period of treatment (EPT) was calculated. Period of observation was six months from the moment of disease diagnostics.
Results. It was established that the probability of complete health restoration was 0,83 after surgical treatment and 0,62 after drug treatment. In case of initial inefficiency of drug treatment the probability of restoration of health as a result of surgical intervention was 0,40. The EPT in surgically treated patients was less than EPT in patients with therapeutic treatment by 3,29 times at the moment of making decision on the method of treatment.
Conclusions. It was concluded that early decision on surgical intervention as a method of diagnostics and treatment was more effective when compared with the drug method of treatment women with pelvic pain syndrome. Dependence of the treatment effects upon perioperative complications serve as forecasting data for individual medical care delivered during postoperative period.

Keywords: tree of decision, undertaking of decision in surgery, pain syndrome, the effectiveness of treatment estimation.

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1 Lyashenko A.V., Bayazitov N.R., Godlevsky L.S. et al. Informational-technical system for automatized laparoscopic diagnostics. Radioelectronics, computer sciences and control. 2016. No 4. P. 90–96. (in Ukrainian).

2 Egorov A.A., Mikshina V.S. The models of surgeon decision. Letters on New Medical Technologies, 2011, Vol. 7, No4. P. 178–81. (in Russian)

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6 Ozerskaya I.A., Ageeva M.I. Chronic pelvic pain in women of fertile age. Ultrasonic diagnostics. Moscow 2009. 299 p. (in Russian)

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8 Rudenko S.V., Romanenko M.V., Katunina O.G., Kolesnikova E.V. Markov models of patients state changes in projects of delivering medical service. Control of complicated systems development. 2012. No12. P. 86–89. (in Ukrainian)

9 Detsky A.S., Nagile G., Krahnetal M.D. Primer on medical decision analysis: Part 2. Building a tree. MedDecis Making. 1997. 7. P. 126–135.

10 Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and regression trees. Monterey, CA 1984. 368 p.

Reseived 12.10.2017

Issue 1 (187), article 5


Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.67-80

Kovalenko A.S., Dr Medicine, Prof., Head of Department of Medical Information Systems
Kozak L.M., Dr Biology, Leading Researcher of Department of Medical Information Systems
Romanyuk O.A., Junior Researcher of Department of Medical Information Systems

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine


Introduction. The need of health care institutions in the repeated use of digital medical images by different specialists during patient care and long-term storage for the analysis of diagnostic information determines the relevance of this work. The need for means and methods of storage of digital medical data with their subsequent processing and analysis, as well as on mobile devices for the collection, digital data processing and exchange increase.

The purpose of the article is to analyze the experience of creating medical information systems, the development of information technology support the storage and processing of digital medical information and the further development of information technology for digital medicine.

Results. Employees of the department of medical information systems for more than 20 years of activities of the International Research and Training Centre for Information Technologies and Systems NAS and MES of Ukraine solved the problem of constructing the medical information systems and information diagnostics technologies with the use of electronic medical records, methods and means of the mathematical analysis of medical data. The developed technology support for storing and processing digital medical information combines into a single functional network the medical information system, instrumental diagnostic systems and a system of conservation and archiving digital medical images. PACS and cloud technologies was used for long-term storage of digital medical images.

Conclusion. Organization of long-term storage of digital medical images obtained from the diagnostic systems in health care facilities, and the ability to use this information by doctors at their workplace in the current diagnostic and treatment process was provided by using the developed information technology support for storing and processing digital medical information.

Keywords: medical information system, information technology, digital medical imaging, long-term storage.

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Recieved 27.12.2016

Issue 184, article 5


KVT, 2016, Issue 184, pp.56-72

UDC 004.75+004.932.2:616


Romanyuk O.A., Kovalenko A.S., Kozak L.M.

International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine , ,


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Introduction. The need of health care institutions in the repeated use of digital medical images by different specialists during patient care and long-term storage for the analysis of diagnostic information determines the relevance of this work.

The purpose of the article is to form technique for adapting the system of transmission and archiving of digital medical images according to the conditions of the health care institution.

Results. Analysis of medical image storage systems to select the specific software implementation according to the requirements of a particular medical institution was held. After testing and validation in working conditions PACS Conquest DICOM has been selected, its functionality has been verified. The technique of adapting the system for transmission and archiving of digital medical images has been developed, which includes an analysis of instrumental studies systems, installation of database components and configuration of PACS Conquest DICOM-server, connecting the instrumental studies systems and organization of access to digital medical images for medical personnel. Testing of the proposed technique was carried out at the National Institute of Cardiovascular Surgery named by N. Amosov.

Conclusion. The possibility of implementation the free and multi-platform storage system with connection of multiple diagnostic systems for efficient analysis of DMC on each workstation and long-term storage DMC is provided as a result of using the proposed technique.

Keywords: digital medical imaging, standard DICOM, long-term storage.


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Received 15.12.2015

ISSUE 179, article 6


Kibern. vyčisl. teh., 2015, Issue 179, pp 70-80.

Najafian Toomajani Mohamadali, Junior Researcher of Medical Information Systems Department of the International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Glushkov ave., 40, Kiev, 03187, Ukraine, email:

Budnyk Mykola M., Dr (Engineering), Leading Researcher of Department of Sensor Instruments, Systems and Technologies of Non-Contact Diagnostics of the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Glushkov ave., 40, Kiev, 03187, Ukraine, email:

Kovalenko Alexander S., Dr (Medicine), Prof., Head of Medical Information Systems Department of the International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Glushkov ave., 40, Kiev, 03187, Ukraine, e-mail:


Introduction. Methods for analysis of the current density distribution (CDD) maps as cross-sections of the human heart into the frontal plane were considered. Degrees of non-homogeneity of regional and global kinds are determined based on degree of difference between CDD maps and normal quasi-dipole map. Method for estimation of the abnormality degree of CDD maps caused by failures of electric processes into the heart ventricles has been proposed. Evaluation of regional and global inhomogeneity for each map is determined according to small, medium and large grades.

Purpose of the article is to assess the degree of abnormality of electrical processes in the ventricles of the heart through the MCG mapping, analysis of sets of CDD maps beginning of the QRS complex to the end of the T wave, the calculation of the degree of their differences from normal quasi-dipole map.

Methods. Method of assessing the degree of abnormality of the CDD maps.

Results. In order to achieve reliable classification of the degree of regional (global) maps inhomogeneity is assessed by a 3-point scale (small, medium, large), For a more detailed stratification of patients a total degree of inhomogeneity (abnormality) has developed on a 5-value scale: low (normal), below average (small abnormality), the average (intermediate abnormality), above average (mild abnormality), large (severe abnormality).

First determine the level of regional inhomogeneity. For each map, it is determined according to the 3-value scale – small, mild and severe degree.

Conclusion. This method can be applied to the analysis of not only CDD maps, but also for the magnetic field maps. In this case, it is needed to solve the inverse problem, and instead of the current areas, area of the extreme of the magnetic field were analyzed. However, the magnetic field gives a fairly indirect distribution pattern of excitation into the myocardium, so informative value is much lower for medical analysis.

In addition, method is preferable for using relatively cheap device, which allow make examination under normal condition without magnetically shielded room. Above factor greatly simplifies and reduces the cost of implementation of the MCG technology into clinical practice.

Keywords: current density distribution (CDD) map, estimation of regional inhomogeneity, estimation of global inhomogeneity.

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Received 04.07.2014