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Investigation into the methods of classification with training for determination of separating surfaces coefficients using optimization methods based on wavelet-transform with and without constraints (in the form of inequalities) is carried out. Recommendations are offered for choice of optimization method for classification in automated medical diagnostics systems with regard to the peculiarities...
Sudden heart attacks and cerebral strokes remain one of the primary causes of mortality and morbidity in the developed world. These acute cerebral and cardiac ischemic events (acute vascular syndromes) are commonly associated with a rupture of an atherosclerotic plaque in a large artery and subsequent thrombosis. Thus, great attention of vascular physicians is being given to predicting a plaque rupture...
Emotions and stress play a significant role in the genesis of car accidents and it is believed that the immediate history of an accident is characterized by conditions such as anxiety, nervousness, distraction or similar emotions. This paper briefly describes how the Transportation Informatics Research Group at the University of Klagenfurt uses biometric devices to measure physiological signals, which...
The usage of grid technologies for medical research in the field of cardiology is proposed. The technology of ECG signals transport and storage on the distributed grid-resources and the results of mobile application development for accessing the grid storages of cardiograms based on the QR-code technology with the possibility of further processing and visualization is presented.
The paradigm change from delayed interventional to Predictive, Preventive and Personalized Medicine is a leading global challenge in the 21st century. Ubiquitous convergence of mobile applications, new intelligent sensors and machine learning methods make possible creation of new generation personalized automatic healthcare monitoring and pathologies detection systems. These systems will help to make...
Cytological (CI) and histological images (HI) of separate cells and cells groups are used to diagnose breast cancer. We propose an approach that combines computer vision algorithms and intelligent processing of images (fuzzy knowledge base). We also have researched several types of breast cancer and developed a database of CI and HI. On the base of a database an intellectual system of breast cancer...
One of the most significant characteristic features of digital histological images is changing of the form of microobjects (cells) of the same class. The requirement to corresponding points is the stability of their position on the contour, i.e. invariance of their position during rotation, translation. The proposed algorithm of determining the corresponding points on the basis of the central moments...
In this paper a semantic-probabilistic network for event recognition is proposed. The approach uses pre-defined domain ontology to describe the events and scenarios in the scene as a hierarchical decomposition of simple concepts and variables and then perform an automated conversion of the ontology into a Bayesian network. A novel approach to Bayesian network nodes weights calculation is used based...
Currently, reconstruction of cranial implants using tomography study is necessary. The work is dedicated to the automation of the process of cranial implant reconstruction. We propose a set of image processing operations at three-dimensional reconstruction of cranial prosthesis using symmetry.
The purpose of this work is investigating possibilities of non-pharmacological correction methods of the central nervous system (CNS) disturbances. The advantages of the organism natural reserves mobilization have been determined. A new software concept combining bioacoustic correction and music therapy has been developed. This method joins three audio tracks into a single record and creates music...
This paper considers the question of determining the adaptive capabilities of the student's organism under stress using modern information technologies. Mathematical models for assessing of the regulatory and adaptive status and integrated assessment of stress resistance of students were the basis in the presented technologies. These models have been synthesized by the result of statistical data analysis...
Software development nowadays follows several various models. A determining tendency in software development is outsourcing. This paper examines some special aspects of this solution partly from the aspect of the organization side of outsourcing and partly from the aspect of the software development as a process, of the software product and its quality side.
Key priorities for the universities interaction and cooperation in the framework of the Tempus project are considered. The student outsourcing as a form of cooperation with universities is a crucial one for the joint inter-university research projects, development of solutions for the industry in Ukraine, better use of existing universities' and enterprises' resources
In this paper we cover the prospects of University-based IT-outsourcing using the example of Odessa National Polytechnic University's participation in the ≪IHSITOP≫, which is a TEMPUS project. The pilot project was carried out in two stages. At the first stage the students who would take part in the project were selected and taught the basic outsourcing skills. At the second stage, the exact workload...
Various questions of creation of integrated development environment for computer training systems are considered in the given paper. The information technologies that can be used for creating of the integrated development environment are described. Different didactic aspects of realization of such systems are analyzed. Some ways to improve the efficiency and quality of learning process with computer...
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