National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Integration patterns and its automatic evaluation
Krsička, D. ; Šárek, Milan
This paper presents a research project on the integration of information systems in medicine. The area of research interest was specified - optimization of architecture linking of medical information systems. Featured topic is a part of the problems of architecture management in health information systems (so-called Enterprise Architecture).
Contribution of HL7 standards for the Czech Republic
Seidl, Libor
The article provides an overview of the available HL7 standards and describes the principles of development of this standard. HL7 version 2 is the most widely used communication standard in the world. The conclusion is devoted to reflection on the use of standards for interoperability of systems in the Czech health and to future prospects.
Biometric data security in medicine
Horňáková, Anna ; Šárek, Milan
The paper analyzes the current status of the use of biometrics in computer security. It offers an overview of the most commonly used anatomical, physiological and behavioral biometric identification methods. The result of the work should be a new complex of methods that will allow reliable identification of the user in the most comfortable way. The resulting application of new security principles will be used to increase the protection of specialized medical record. Furthermore, there is generally conceived to extend the concept of the EHR MUDR other application areas.
Prediction of inpatient mortality for patients with myocardial infarction
Kratochvíl, Václav ; Kružík, H. ; Tůma, P. ; Vomlel, Jiří ; Somol, Petr
The topic of this paper is the standartization of inpatient mortality for patients with myocardial infarction based on discovered correlations between risk factors and the mortality.
Data mining from databases – examples of application in cardiological data
Rauch, Jan
The paper includes basic information about data mining and databases as an important discipline of science and shows examples of its applications in medical data. The main features of the CRISP-DM methodology and examples of finding interesting association rules for orientation in unknown data sets are discussed.

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