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EN
In the case of infertility treatment, successful classification will facilitate understanding of various factors affecting the success of the process. Classification itself is an important data mining problem. Many classifications and constructions of the classifier algorithms are not able to cope with the analysis of the huge amount of factors associated with this process. Feature selection allows to significantly reduce the volume of analyzed data, while maintaining the classifier prediction quality. This leads to the rejection of nonessential measurements and time reductions.
EN
Creation of a system for managing the activity of a Medical University department presents a great challenge for software developers. Such system should reflect many aspects of the activity of such department, including circulation of documents, technical documentation, and patient data. Considerable diversity of data imposes high complexity of the created system. JSP is one of the many methods which is able to cope with this complexity and at the same time can coordinate programmers' team work.
EN
Advanced informatics systems should reflect the diversity of its users and their needs. An important part of the development process is to study the expectations of its users. This, in result, enables the creation of many different models reflecting specific aspects of such a system.
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