Articles

It is very important to balance the processes of creating the simplest and most effective predictive models in medicine. The predictors in the model determine its quality and practical relevance but selecting them is not always easy. The aim of the study is to compare different methods of prediction selection to create medical prognostic models.
Methods. We compare simple methods, such as correlation, predictor filtering based on basic statistics, and Hosmer-Lemeshow univariate analysis, with more...

The article proposes technique and results for pre-project research and design of automated information systems in relation to business process management systems of medical organizations on the example of monitoring the implementation of regulations at the departments of nephrology and hemodialysis. When developing the system, an original method of system analysis and modeling of business processes was used based on the experience of the divisions of a private network medical company working in...

Here we present the key aspects of the fully automated APACHE II scale calculation development. We reviewed implementation opportunities for modern technological solutions in intensive care units. Successful experience of utilizing the clinical decision support system „PHILIPS Digital Resuscitation” for analysis, prognosis and patient data management is described in details. The digital algorithm for automated calculation of the clinical scale used in anesthesiology and intensive care department...

In this study we evaluated operability of a multicomponent system consisting of ECG recorders (made by different manufacturers), signal conversion drivers (matching layers) provided by ECG equipment vendors according to a single technical task, an ECG signal processing and visualization program. Such system registers and processes ECG signal by means of the software unit integrated into the regional medical information system (RMIS). System performance evaluation was carr...

Here we describe the possibilities of joint use of agent-based modeling and location intelligence based on geoinformation technologies for solving epidemiological problems. This approach has an important advantage allowing close to real-life epidemic progression visualization (hepatitis A) in the “digital twin” of the city. The instrument we developed could be used for both research and practical purposes, as well as for managerial decision-making.