2020. No. 1 Vol.14

      This article offers a transition-based neural network model for extracting informative expressions from user request texts. The configuration and transition system that turns the process of informative expression extraction into the execution of a sequence of transitions is described. Prediction of transition sequence is done using a neural network that uses features derived from the configuration. To train and evaluate a proposed model, a corpus of annotated Android mobile application reviews from the Google Play store was created. The training procedure of the model for informative expressions extraction and selected model’s hyperparameters are described. An experiment was conducted comparing the proposed model and an alternative model based on a hybrid of convolutional and recurrent neural networks. To compare quality of these two models, the F1 score that aggregates recall and precision of extracted informative expressions was used. The experiment shows that the proposed model extracts expressions of interest better than the alternative: the F1 score for spans extraction increased by 2.9% and the F1 for link extraction increased by 36.2%. A qualitive analysis of extracted expressions indicates that the proposed model is applicable for the task of user request analysis during operation and the maintenance phase of software products.

      Modeling the processes in a healthcare system plays a large role in understanding its activities and serves as the basis for increasing the efficiency of medical institutions. The tasks of analyzing and modeling large amounts of urban healthcare data using machine learning methods are of particular importance and relevance for the development of industry solutions in the framework of digitalization of the economy, where data is the key factor in production. The problem of automatic analysis and determination of clinical pathways groups of patients based on clustering methods is considered in this research. Existing projects in this area reflect a great interest on the part of the scientific community in such studies; however, there is a need to develop a number of methodological approaches for their further practical application in urban outpatient institutions, taking into account the specifics of the organization being analyzed. The aim of the study is to improve the quality of management and segmentation of patient input flow in urban medical institutions based on cluster analysis methods for the further development of recommendation services. One approach to achieving this goal is the development and implementation of clinical pathways, or patient trajectories. In general, the clinical pathway of a patient might be interpreted as the trajectory when receiving medical services in respective institutions. The approach of developing groups of patient routes by the hierarchical agglomerative algorithm with the Ward method and Additive Regularization of Topic Models (ARTM) is presented in this article. A computational experiment based on public data on the routes of patients with a diagnosis of sepsis is described. One feature of the proposed approach is not just the automation of the determination of similar groups of patient trajectories, but also the consideration of clinical pathways patterns to form recommendations for organizing the resource allocation of a medical institution. The proposed approach to segmenting the input heterogeneous flow of patients in urban medical institutions on the basis of clustering consists of the following steps: 1) preparing the data of the medical institution in the format of an event log; 2) encoding patient routes; 3) determination of the upper limit of the clinical pathway length; 4) hierarchical agglomerative clustering; 5) additive regularization of topic models (ARTM); 6) identifying popular patient route patterns. The resulting clusters of routes serve as the foundation for the further development of a simulation model of a medical institution and provide recommendations to patients. In addition, these groups may underlie the development of the robotic process automation system (RPA), which simulates human actions and allows you to automate the interpretation of data to manage the resources of the institution.

      The absence of a common and universal approach to IT project management allows us to formulate a problem to analyze and study when choosing the most efficient project management methodology. The relatively small number of scientific works summarizing practical experience of a theoretical approach allowed us to formulate a generalized mathematical model for a common IT project lifecycle estimation in this work using waterfall, agile or hybrid approaches for the project management. Based on the advantages and disadvantages of existing methodologies that we revealed, it appears that use of agile approaches within stages of the cascade methodology approach improves the process of IT project management compared to a pure cascade implementation. Moreover, the recursive application of an iterative approach at certain stages of the project implementation worsens the characteristics of the project life cycle and can be used only to reduce a certain class of project risks. The results of our study allow us to propose a semi-empirical method for project planning estimation accuracy and attainability of the declared project implementation characteristics. All of this should have a positive impact on the effectiveness of the IT project management strategy choice.

      The goal of e-government is to provide public services to end users – be it citizens or residents – of a given nation. Research has shown that there is the susceptibility of governments to check all the boxes so as to present an image of having e-government implementations, yet end users eventually do not benefit from these electronic services. Quality public service delivery is an issue of priority today and, with the increasing availability of modern technological tools and techniques, it is attainable. Data-driven e-government is a necessary ingredient in the modern day public sector due to the widespread availability and rapid production of data (i.e. big data) and it aims at value creation. This study proposes a novel research concept, using the Multi-Channel Service Delivery model as a catalyst to attain the data-driven ecosystem in the public sector. The model was developed based on recommendations from works of previous research to address the changing landscape of the public sector. By integrating the Multi-Channel Service Delivery model into e-government and public sector decision making, governments will be able to bridge the divide and offer services to end users with access to e-services, as well as those who do not. In doing so, the United Nations’ Sustainable Development Goals (SDGs) which are aimed at leaving none behind will be arrived at.

      Analysis of modern publications dealing with project-based learning at the university has shown that they can be divided into two parts. The first part is devoted to theoretical and methodological issues and its authors are mainly pedagogical specialists. The second part is concrete examples of the application of the indicated teaching technology in various subject areas, including technical specialties. The literature also presents applications on the organizational and technological aspects of introducing project-based learning in the educational process at the university. The authors of the second part are teachers of specialized disciplines in the corresponding field of study (medicine, technology, creativity, economics, etc.). This article provides an example of the use of elements of project-based education as early as in Soviet higher education when teaching students with a specialization in “Information Technology” and their projection on a modern educational platform. The purpose of the study is to consider individual methodological issues and practical recommendations for applying the project method for students of study profiles related to the study of disciplines focused on information systems (IS) design. The result of the study is to focus on the possibility of introducing project-based training within an interdisciplinary nature, in particular, the participation of students studying in economic specialties in projects for the creation of functional IS. Advice is given on the distribution of the roles of students and their functions in a team working on a project.

       This article is devoted to the integrated performance assessment method – an improved version of the earned value management. It provides a description of the key features and benefits of practical application of the performance assessment method to develop estimates and forecasts of activity. It sets out the authors’ opinion about the performance assessment method for execution of key performance indicators in a balanced scorecard. The article touches upon the problems of management due to the unsettled terminology among managers, and various interpretations of the terms: efficiency, effectiveness and economy in management, and proposes a definition to align terminology to uniformity. It provides in a graphical way the vector system: efficiency as the resulting vector of activities obtained from multiplying the vectors of productivity and efficiency, orthogonal to the plane of the multiplied vectors. It gives a conceptual model of the organizational structure of management and cooperation of stakeholders, which opens opportunities for the economic growth of the enterprise, its protection from external or internal risks, both managerial and technological.