Publisher: Ternopil State Medical University   (Total: 5 journals)   [Sort by number of followers]

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Medical Informatics and Engineering
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1996-1960 - ISSN (Online) 1997-7468
Published by Ternopil State Medical University Homepage  [5 journals]
  • TRAINING OF TEACHERS IN THE SYSTEM OF POSTGRADUATE MEDICAL EDUCATION OF
           DOCTORS AND PHARMACISTS BASED ON THE HYBRID REALITY STRATEGY

    • Authors: O. P. Mintser, L. Yu. Babintseva
      Pages: 12 - 16
      Abstract: Background. The issues of radical change of teaching in medical universities in the conditions of mass introduction of information technologies are considered. It is emphasized that recently created fundamentally new learning environments based on the inclusion of both real and virtual objects. Such changes require the creation of a new system of teacher training. The aim of the work was to substantiate a classification of knowledge that corresponds to the new technological realities of education in medical universities. Materials and methods. Results. It is concluded that the share of the use of augmented and hybrid reality is still low. But the significant potential value of these technologies for medical education in the near future may completely transform medical education, introducing on-demand training, remote access to educational materials and objective assessment. Accordingly, the priority training of teachers in medical universities and in the system of postgraduate medical education is extremely important. It is also important to ensure an appropriate learning continuum. Conclusions. A classification of knowledge to be taught in higher education, especially in postgraduate medical education, is proposed. It is a pyramid of knowledge based on relatively stable core knowledge, and at the top — constantly changing operational knowledge. The complementary (inverted) pyramid is the share of virtual and hybrid reality methods.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11187
       
  • ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MEDICAL PRACTICE

    • Authors: O. P. Mintser, V. O. Romanov, I. B. Galelyuka, O. V. Voronenko
      Pages: 17 - 27
      Abstract: Background. The integrated digitalization of medicine, the use of the Internet of Intelligent Things, and the networks of medical wireless sensors offers ample opportunities to remotely support the appropriate quality of life of chronically ill patients, the elderly, and athletes and professionals with heavy physical or mental workloads. Materials and methods. Results. The implementation of individual remote means of maintaining quality of life includes the following components: the creation of new and the use of existing miniature or microelectronic medical sensors that directly read medical parameters from the patient's body. Such sensors are designed to monitor body temperature, heart rate, respiration and blood pressure, read heart signals, determine skin moisture, record a fall or abrupt changes in the patient's position and other body parameters in real time, miniature interfaces for data acquisition, analog-to-digital conversion and data preprocessing of medical parameters received from medical sensors located on the patient's body, miniature data communication means to remote medical centers according to modern communication standards, automated and remote diagnostic tools with elements of artificial intelligence, remote-controlled injectors for input of medicines in case of critical condition of the patient. Conclusions. The current state and prospects for the development of these tools are discussed in the publication.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11171
       
  • PECULIARITIES OF THE FULLERENE-HALOGEN LIGHT INFLUENCE ON INFLAMMATORY
           PAIN, DEPENDING ON CHARACTERISTICS OF THE LIGHT FLUX

    • Authors: S. O. Gulyar, Z. A. Tamarova
      Pages: 28 - 49
      Abstract: Background. The effect of halogen polarized light transformed by fullerene on the locus of pain or acupuncture analgesic point causes analgesic effect. Earlier this was proved by us in animals on the formalin model of pain. This study focuses on characteristics of analgesic reactions of animals under the influence of different wavelength ranges of halogen and fullerene light and to identify the contribution of fullerene component in reducing inflammatory pain depending on the spectrum, power density and illuminance. Materials and methods. The experiments were performed on mice with an artificially created locus of inflammatory somatic pain (formalin test). The light source was Bioptron-MedAll device equipped with a halogen lamp. In separate series (80 animals in total) we studied the effect of light transmitted through fullerene filters (based on CR39 or PMMA) on the pain intensity and non-painful behavioral reactions when it was applied to the pain locus or to the acupoint (AP) E-36. Analgesic effects were compared with data obtained under the action of polychromatic (480+ nm and 320+ nm) light or 3 placebo light options, taking into account physical characteristics of the filters. Results. It was found that fullerene light gave the best analgesic effect regardless of the type of filter substance (PMMA or CR39). When fullerene light (CR39 filter) was applied to the pain locus, analgesia was 34.3 %. An analgesic reaction was also detected during its action on the AP E-36 — 32.6 %, while the halogen polychromatic light was weaker (16.2 %). The light passing through the fullerene+PMMA filter when applied to the pain locus alleviated pain by 29.8 %. Polychromatic light application produced analgesia of 480+ nm was 23.2 %, and 320+ nm — 14.4 %. All placebo variants were less effective, although analgesia also occurred: 25.3 % (CR39 fullerene free), 24.9 % (PMMA fullerene free), and 27.7 % (color copy of fullerene filter spectrum). Conclusion. The biological effectiveness of the studied light variants, estimated by the intensity of pain syndrome, correlated mostly with the power density and the wavelength range of light. Fullerene filters convert PL almost in the same way, with a similar analgesic result, but the biological effect of fullerene+CR39 light is more noticeable. Fullerene modified light, compared to halogen, has the greatest analgesic efficacy against formalin-induced pain. This result is achieved by the sorption of frequencies of the blue part of the spectrum by fullerene and depression of the power of the visible spectrum as a whole.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11172
       
  • VISUAL ANALYTICS — AN EFFECTIVE TECHNOLOGY FOR PROCESSING BIG DATA
           IN MEDICINE

    • Authors: V. V. Petrov, O. P. Mintser, A. A. Kryuchyn, Ye. A. Kryuchyna
      Pages: 50 - 61
      Abstract: Background. The analysis of the prospects for the use of visual analytics in clinical and experimental medicine, a healthcare, pharmacy and clinical research, primarily for processing Big Data, is presented. The analysis shows that visual analytics provides a more accessible and intuitive approach to the analysis of biomedical information, improves the efficiency of the use of collected and accumulated data, and reveals new and unknown knowledge by finding relationships, patterns, trends and anomalies in Big Data. Visual analytics provide data management, research and analysis. The developed methods for presenting data in the form of images, diagrams are aimed at the most complete use of registers of medical data, the use of accumulated information to predict the possibility of the development of diseases and their prevention, and in general should contribute to solving the problems of information overload. The above data indicate that the technology of visual analytics will contribute to a significant improvement in the quality of medical care for the population. The purpose of the study is to analyze the current state, problems and prospects of using Visual analytics technologies for Big Data analysis in medicine. Materials and methods. Results. Visual analytics has great potential for Big Data processing, it allows for comprehensive data analysis to improve the quality of medical care and the analysis of a large number of complex heterogeneous data of various nature. Visual analytics allows you to increase the efficiency of using the collected and accumulated data, to discover new and unknown knowledge by finding relationships, patterns, trends and anomalies in Big Data. The use of VA will allow to solve the problem of information overload, which occurs when analyzing huge data arrays, to establish a relationship between a large number of variables. Conclusions. VA methods allow clinicians, researchers, administrators, and patients to obtain effective, meaningful information from the vast and complex data resources that a modern healthcare system offers. At the same time, there are problems with the visual study of unstructured data, the lack of standardized methods for assessing, validating and measuring the effectiveness of IA tools, which requires further research.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11173
       
  • THE COMPARATIVE EFFECTIVENESS OF IMAGES CLASSIFIERS IN THE COURSE OF
           RECOGNITION OF ZONES OF INTEREST DURING LAPAROSCOPIC INTERVENTION

    • Authors: N. R. Bayazitov, D. N. Bayazitov, A. B. Buzynovsky, A. V. Lyashenko, D. V. Novikov, L. S. Godlevsky
      Pages: 62 - 69
      Abstract: Background. The purpose of the study is to evaluate the effectiveness of the automatic computer diagnostic (ACD) systems developed on the basis of two classifiers — HAAR features cascade and AdaBoost for the detection of appendicitis and metastatic damages of the liver. Materials and methods. For the classifiers training the images/frames, which have been cropped out from video gained in the course of laparoscopic diagnostics were used. Namely, RGB frames, and gamma-corrected RGB frames and converted into HSV have been explored. Also descriptors were extracted from images with the modified method of Local Binary Pattern (LBT), which includes data on color characteristics («modified color LBT» — MCLBT) and textural ones were used later on for AdaBoost classifier training. After cessation of training the tests were performed with the aim of the estimation of effectiveness of recognition. Test session images were different from those ones which have been used for training of the classifier. Results. The highest recall for appendicitis diagnostics was achieved after training of AdaBoost with MCLBT descriptors extracted from RGB images—0,745, and in case for metastatic damages diagnostics — 0,902. Hence developed AdaBoost based CAD system achieved 74,4 % correct classification rate (accuracy) for appendicitisc and 89,3 % for metastatic images. The accuracy of HAAR features classifier was highest in case of metastatic foci identification and achieved 0,672 (RGB) — 0,723 (HSV) values. Conclusions. Haar features based cascade classifier turned to be less effective when compared with AdaBoost classifier trained with MCLBT descriptors.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11175
       
  • PREDICTION MODEL OF CORONAVIRUS INFECTION COVID-19 EPIDEMIC PROCESS IN
           UKRAINE

    • Authors: S. O. Soloviov, I. V. Dziublyk, O. P. Mintser
      Pages: 70 - 78
      Abstract: Background. Identification of features and development of prediction model of COVID-19 epidemic process in Ukraine on the basis of available epidemiological data and existing trends. Modeling of COVID-19 epidemic process was based on classic epidemiological model. Materials and methods. Key parameter of the model — transmission parameter of SARS-COV2 was determined numericaly with the use of avalable epidemiological data: daily reports of the Ministry of Health of Ukraine of the absolute number of patients with COVID-19. Numerical determination of transmission parameter of SARS-COV2 according to the absolute number of patients with COVID-19 in each region and in Ukraine shOwed its tendency to decrease over time. Approximation of the obtained numerical values of the transmission parameter o SARS-COV2 was carried oOut between April 7 and May 2, 2020 using the exponential function. Results. The results of pragnostic modeling showed that by the end of summer 2020 about 25 thousand people with COVID-19 are expected, and the peak incidence occurs at the time of the study (April 28 — May 5, 2020). In addition, research allowed us to analyze the intensity of the epidemic process in different regions of Ukraine on the basis of  the calculated average values of SARS-COV2 transmission in the period from April 7 to May 2, 2020. It was determined that the most intensive epidemic process is in Kharkiv, Luhansk and Mykolayiv regions, which can be useful information for making appropriate management decisions to deepen quarantine measures in these regions. Conclusions. Predicting the possible consequences of the implementation of various health care control programs COVID-19 involves a comprehensive study of the epidemic process of the disease as a whole and for certain periOds of time with the subsequent construction of an adequate prediction model. We praposed a simple prediction model, but effective tool for predicting the epidemic process COVID-19 that can be useful in the practical work of health professionals.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11176
       
  • THE STUDY OF THE ENERGY STATUS OF A PERSON AS AN IMPORTANT STAGE IN THE
           TRANSITION TO 4P-MEDICINE. PART I: CONCEPTUAL ANALYTICAL REVIEW

    • Authors: O. P. Mintser, M. M. Potiazhenko, G. V. Nevoit
      Pages: 79 - 89
      Abstract: Background. Further progress in medicine and the solution of the problem of NCDs may be associated with an ontological rethinking and with the globalization of modern scientific knowledge from the perspective of systemic medicine. The purpose of the work is a conceptual substantiation of the concept of «energy status of an organism» and possible methods for its assessment on the basis of an ontological generalization of scientific physical and biological representations of the present from the standpoint of systemic medicine. Materials and methods. The analysis of literature data was carried out in the course of conducting a search study of methods for express assessment of valeological status. This is a fragment of the initiative research work «Development of algorithms and technology for introducing a healthy lifestyle in patients with NCDs based on the study of psycho-emotional status» (state registration No. 0116U007798). Results. The logical chain of substantiation of the concept is constructed by the authors in the article. Ontological and methodological factors of the methods of possible examination are described and explained by the authors in the work as well. The results can help achieve the requirements of the 4P medicine model. Conclusions. The authors propose for the first time: 1) the introduction of the concept of the patient's energy status; 2) a shift in the focus of clinical attention to the indicator of muscle content in the body, as another new, early predictor of the occurrence of NCDs and metabolic disorders of the body; 3) the use in practical health care of a personified method for determining the direction of correction of a patient's life style, the formula of which provides for the implementation of a complex of instrumental diagnostics: instrumental bioimpendanceometry, spectral analysis of heart rate variability and variational pulsometry, skin galvanic rapid testing, EPI method with subsequent analysis of the results from physiological position assessment of the energy status of the body; 4) an ontological model of the etiopathogenesis of CFS as a state of energy deficiency of the body due to the failure of the physiological adaptation mechanism at the level of central regulatory mechanisms of hypothalamic structures and methods of possible instrumental verification of CFS.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11179
       
  • AIR DEHUMIDIFIER BASED ON PELTIER AND ARDUINO

    • Authors: V. S. Voloshin, O. Yu. Azarkhov, I. I. Sili
      Pages: 90 - 95
      Abstract: Background. Global warming is having a significant impact and will continue to have an impact on rising global humidity. Although the majority of the Ukraine population has not yet experienced this problem significantly, there are all prerequisites to believe that in the near future we will have an annual increase in humidity in all cities and villages of our country, come with restrict access of the population and facilities to drinking water. The problem will be urgently present to the cities which are territorially located near the sea coast, such as for example Mariupol. Of course, the availability of water for consumption is extremely important because it is the main source of life on Earth. Despite all the water found in the earth's crust, only 2.5 % of the water is fresh water. Of this small part, 70 % is used in agriculture, 23 % in industry and 7 % for human consumption. Results. This paper presents the development of a prototype of a dehumidification system that has the primary purpose of reducing indoor air humidity, first of all, in health care facilities (by condensation). Other benefits include: technical water storage, low cost, small size, portability. The process of removing water from the air must be clearly monitored so that the relative humidity in the room remains greater than the minimum permissible level. In order to avoid harm to the health of people and patients, humidity should be at least 30 %, if less — a possible negative impact on human health could be. The dehumidifier uses a 36 cm2 aluminum plate about 0.5 mm thick, a Peltier thermoelectric element, an Arduino UNO board, jumper wires, TIP122 transistors and 1 kOhm resistors. The Peltier thermoelectric element is a small unit that uses condensing technology to operate as a heat pump. Its thickness is only a few millimeters, the shape is square, it is 4x40x40 mm, the element contains small cubes of Bi2Te3 (bismuth telluride) in its structure. After connecting and applying voltage (12V) to the Peltier element in 4 minutes, droplets of water began to form on the plate. For ease of maintenance and design, each side of the element was marked with the letters «X» (stands for «cooling side») and «G» (stand for «heating side»). To control the cooler and power supply, the Arduino PWM of the corresponding PIN output was used and a signaling algorithm was installed. Digital control is used to create a square wave, the signal switches between on and off mode. Conclusions. As part of the initial results, we tested and obtained the process of condensation of water droplets on an aluminum plate, and the process itself turned out to be continuous and controlled. An important element in the further development of a generic model of dehumidifier for use in healthcare facilities should be the implementation of system feedback, such as the use of an Arduino-enabled humidity sensor.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11180
       
  • MAIN DIRECTIONS OF APPLIED KIRLIANOGRAPHY IN ECOLOGY AND MEDICINE

    • Authors: O. P. Mintser, L. A. Pisotska, N. V. Glukhova
      Pages: 96 - 110
      Abstract: Background. The methods of express diagnostics of the energy-informational status of any environmental object are investigated. It is shown that approaches based on visualization of a gas-discharge glow around objects of animate and inanimate nature in a high-voltage field, known in the world as the Kirlian effect, are effective. Materials and methods. Results. The paper presents the results of experimental studies using kirlianography in solving problems of medicine, ecology, and the pedagogical process. To present the results of experimental studies using kirlianography in solving problems of medicine and ecology. Conclusion. The advantage of kirliography as a bioenergy-informational, innovative method is its high sensitivity and the ability to register nonspecific changes in the body at the level of pre-illness, early detection of electro physical disturbances in biosphere objects with a negative impact on environmental factors, rapid assessment of the state of the energy-informational component of water and biological fluids, determining their bioactivity.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11181
       
  • ELECTRONIC INFORMATION SYSTEMS IN MEDICINE AND BIOLOGY: GENERAL ANALYSIS

    • Authors: O. M. Klyuchko
      Pages: 111 - 123
      Abstract: Background. In present publication we generalized and analyzed the experience of electronic information systems with databases use in medicine and biology, as well as classified observed versions of modern medical and biological information systems for the use of this knowledge for the construction of new information systems. Materials and methods. Methods of comparative theoretical analysis were applied for the results searched in databases of Springer, Academic Press as well as Google Scholar, PubMed, Medine. The studies were done to observe, generalize and analyze the examples of highly developed technical information systems with databases elaborated for medicine and biology. Results. We analyzed briefly the development of ISs idea, examined ISs for medicine, biology from numerous scientific and technical publications (approximately 370). Then we classified such systems, which traditionally refer to both biological and medical sciences. Further we observed different examples of such information systems, as well as systems that have characteristics both medical and biological in order to facilitate the invention of future more advanced their versions. We have demonstrated that several basic types of ISs with databases for medicine, biology can be subdivided. Classifying, we have ordered them according to the number of publications devoted to each type. Conclusion. Following conclusions were done: 1. Medical information systems are characterized by the greatest quantity, diversity and proximity to the practice. 2. Electronic information systems in neurophysiology and biology are characterized by the greater proximity to scientific research. 3. The main focus of the developers is focused now on the development of: medical information systems of general purposes, electronic library systems, electronic systems for work with documents, expert systems, and telecommunicate systems appeared in these lists recently, since the beginning of SARS-CoV-2 (2019-nCoV) pandemic. Other types were represented less than above mentioned ones.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11183
       
  • ELECTRONIC INFORMATION SYSTEMS IN MEDICINE AND BIOLOGY: GENERAL ANALYSIS

    • Authors: O. M. Klyuchko
      Pages: 111 - 123
      Abstract: Background. In present publication we generalized and analyzed the experience of electronic information systems with databases use in medicine and biology, as well as classified observed versions of modern medical and biological information systems for the use of this knowledge for the construction of new information systems. Materials and methods. Methods of comparative theoretical analysis were applied for the results searched in databases of Springer, Academic Press as well as Google Scholar, PubMed, Medine. The studies were done to observe, generalize and analyze the examples of highly developed technical information systems with databases elaborated for medicine and biology. Results. We analyzed briefly the development of ISs idea, examined ISs for medicine, biology from numerous scientific and technical publications (approximately 370). Then we classified such systems, which traditionally refer to both biological and medical sciences. Further we observed different examples of such information systems, as well as systems that have characteristics both medical and biological in order to facilitate the invention of future more advanced their versions. We have demonstrated that several basic types of ISs with databases for medicine, biology can be subdivided. Classifying, we have ordered them according to the number of publications devoted to each type. Conclusion. Following conclusions were done: 1. Medical information systems are characterized by the greatest quantity, diversity and proximity to the practice. 2. Electronic information systems in neurophysiology and biology are characterized by the greater proximity to scientific research. 3. The main focus of the developers is focused now on the development of: medical information systems of general purposes, electronic library systems, electronic systems for work with documents, expert systems, and telecommunicate systems appeared in these lists recently, since the beginning of SARS-CoV-2 (2019-nCoV) pandemic. Other types were represented less than above mentioned ones.
      PubDate: 2020-07-12
       
  • INFORMATION TECHNOLOGY FOR THE STUDY OF CELL ADAPTATION TO HYPOXIA: THE
           FOCUS IS ON MITOCHONDRIA

    • Authors: К. G. Liabakh
      Pages: 124 - 131
      Abstract: Background. It is offered a concise description of the information technology to study the adaptation of cells to hypoxia by special redistribution of mitochondrial oxidative power by different ways. Our goal was to represent a concise description of this technology based on a mathematical model and propose an example of its application for calculating the parameters of cell oxygen mode under different ways of mitochondrial distribution. Materials and methods. Results. Comparison of the oxygen regimes of the cell with a uniform and uneven distribution of mitochondria showed that during hypoxia, an increase in the oxidative power of evenly distributed mitochondria can increase the rate of oxygen consumption, while hypoxia in the cell increases. Under uneven of mitochondria distribution oxygen mode improved, hypoxia weakened. The movement of mitochondria towards the capillary is able to facilitate cellular adaptation. It was possible to reduce hypoxia and maintain the oxygen consumption rate at the constant level. Conclusions. An information technology has been developed to calculate the parameters of the oxygen regime of the cell at various distributions of mitochondria in it. When О2 diffusion transport worsens, mitochondrial spatial rearrangement expands the cell's ability to compensate for the worsening diffusion conditions.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11184
       
  • VALEOLOGICAL VIEWPOINT FOR PERSONIFIED MEDICINE

    • Authors: V. V. Vishnevskey, V. A. Gavrylyuk
      Pages: 132 - 136
      Abstract: Background. The valueological viewpoint on personalized medicine is formed in the article. The authors analyze the attainability of such EU health targets as «increasing lifespane» and «increasing well-being» in their systemic relationship. The article provides a brief overview of valeological health assessment systems. The review focuses on the system of Dr. Apanasenko, one of the founders of the Ukrainian school of valeology. This system has been tested for over 30 years. Materials and methods. Results. The presence of these systems explains the fundamental possibility of quantitative measurement of the level of individual health. The authors use this possibility to introduce a new definition — «individual health trajectory». Based on the analysis of idealized individual health trajectories in the nineteenth century and now, the authors shows the shortcomings of the target «lifespane» for the current state of health care. It is shown that at present the average «individual health trajectories» of patients are such that an increase in life expectancy is achieved in conditions of a low level of individual health of the patient. In fact, we are talking about extending life in a chronic disease and reducing well-being. To ensure the reach of the health target of «increasing well-being», the necessity of changing the paradigm of «personalized medicine» is shown. Conclusions. According to the authors, the goal and content of personalized medicine should be the focused activity of the doctor and patient in the direct of managing the individual trajectory of the patient's health. This activity should be based on constant monitoring of a quantitative assessment of the patient's health throughout his life. A new mobile devices and information technologies can be used to support this activity.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11185
       
  • TAXONOMIC PRINCIPLES OF NARRATIVE DISCOURSE

    • Authors: O. Ye. Stryzhak
      Pages: 137 - 147
      Abstract: Background. The complexity of information and analytical activities of experts is the problem of accumulation of large volumes of scientific products, which is a passive distributed system of knowledge. This problem of Big Data, requires the latest solutions that will ensure the integrative use experts of narrative descriptions of all documents that reflect the content of scientific results. Materials and methods. Results. One of the mechanisms for mastering the content of network documents is narrative discourse, which is implemented on the basis of procedures of analysis, structuring, classification, identification of criteria, synthesis and evaluation, and so on. However, the primary for these procedures is the formation of taxonomies that reflect the semantic content of each document. Then the presentation of online documents in the format of narrative discourse implements support for the interaction of experts. Conclusions. This approach to ensuring the information and analytical activities of experts creates the conditions for optimal processing of a large number of diverse information arrays. On the basis of taxonomic representation of big data for them the component architecture of services of support of decision-making is realized.
      PubDate: 2020-07-13
      DOI: 10.11603/mie.1996-1960.2020.2.11186
       
 
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