European Journal of Molecular & Clinical Medicine

Education Data Mining is a process of changing raw data into system education useful to information. It is used for educational software developing field, teachers, parents, students and other research in education. The Interest is increasing nowadays in educational field and data mining, data mining in education makes research growing community. This application mining provides a data to the systems in traditional, well-known learning content management systems, and particular courses in a web-based adaptive and intelligent systems.
Each systems have data to source differently and also knowledge in discovering object. After the pre-processing, data mining techniques are applied in visualization and Each systems have the data source differently and knowledge for objective discovering. After the pre-processing of data in each case, the data mining techniques are applied in statistical and visualization, clustering, classification and detection of outline, association rule mining and pattern mining and text mining. Many works and researchers need a specialized work in educational data mining becoming in a nature area. Weka tool and Rapid Miner used to predict the most accurate analysis.

The algorithm for constructing control models of complex systems should be based on the hypothesis that the research and control processes of complex systems are subject to a single technology. A comprehensive study of objects is needed, starting with preliminary study, obtaining adequate models, process algorithms, and ending with the creation of effective control systems. Therefore, the algorithmization of control processes using modern computer technology requires not only improved management at all levels, but also the creation of new effective methods for the rational and adequate description of objects of research, optimization and construction of a control algorithm. The general scheme of such an algorithmic approach is described below. In this paper, we give methods and models of algorithms that are of particular importance in the automation of all stages of system research and the construction of control algorithms. From this point of view, the research process of various objects should be divided into seven consecutive stages, which are a cybernetic chain with feedback. The paper also gives a formalized standard description based on function tables, an algorithmic method for solving the problems of managing complex systems based on algebra over function tables, and methods for synthesizing workplace complexes using production systems as an example.

The study aimed to evaluate the effectiveness of the algorithm we developed when
choosing the surgical treatment tactics of acute subdural hematoma of the brain. A
retrospective analysis of 82 patients hospitalized from 2018 to 2019 was carried out in the
neurosurgery department of the Samarkand branch of the Republican Scientific Center for
Emergency Medicine with acute subdural hematomas. Group 1 included 53 observations,
where osteoplastic and resection craniotomy were performed for removal of subdural
hematomas. Group 2 included 29 observations, where subdural hematomas were removed
using a new minimally invasive method. Based on the data obtained, the algorithm developed
and implemented by us allowed us to provide emergency medical care most effectively and get
positive results. This algorithm can be used with all age groups of patients, regardless of the
severity of the injury. The algorithm for choosing the treatment tactics for acute subdural
brain hematoma is available on all stationary computers in all medical institutions and is easy
to use. In combination with the clinical and neurological picture, the results of radiation
diagnostics studies, the algorithm we developed is an innovative method of providing qualified
emergency medical care and surgical intervention that meets modern requirements.