15 results match your criteria: "EuroMISE Center[Affiliation]"
Stud Health Technol Inform
January 2013
EuroMISE Center, First Faculty of Medicine, Charles University, Prague, The Czech Republic.
The paper shows the importance of e-health applications for electronic healthcare development. It describes several e-health applications for health data collecting and sharing that are running in the Czech Republic. These are IZIP system, electronic health record MUDR and K4CARE project applications.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
April 2012
Centre of Biomedical Informatics and EuroMISE Center, Institute of Computer Science AS CR, Prague, the Czech Republic.
Background: Narrative medical reports do not use standardized terminology and often bring insufficient information for statistical processing and medical decision making. Objectives of the paper are to propose a method for measuring diversity in medical reports written in any language, to compare diversities in narrative and structured medical reports and to map attributes and terms to selected classification systems.
Methods: A new method based on a general concept of f-diversity is proposed for measuring diversity of medical reports in any language.
Stud Health Technol Inform
September 2008
EuroMISE Center, Department of Medical Informatics, Institute of Computer Science, AS CR, v.v.i., Prague, Czech Republic.
The EuroMISE Center focuses on new approaches in the field of electronic health record (EHR). Among others, the structured health documentation in dentistry in the form of an EHR is being systematically studied. This paper describes the evolution of the EHR developed at the EuroMISE Center named MUDRLite and its graphical component for dentists called DentCross.
View Article and Find Full Text PDFStud Health Technol Inform
September 2008
EuroMISE Center and Center for Biomedical Informatics, Department of Medical Informatics, Institute of Computer Science AS CR v.v.i., Pod Vodarenskou vezi 2, 182 07 Prague 8, Czech Republic.
The aim of this article is to present a design of a Medical Knowledge Representation System (MEKRES). The system automatically offers relevant formalized knowledge by extended GLIF (Guidelines Interchange Format) models to participants (patient, physician, operator, ..
View Article and Find Full Text PDFStud Health Technol Inform
September 2008
EuroMISE Center and Center for Biomedical Informatics, Department of Medical Informatics, Institute of Computer Science AS CR, v.v.i., Pod Vodarenskou vezi 2, 182 07 Prague 8, Czech Republic.
Clinical practice guidelines are textual recommendations based on the consensus of medical experts with the aim to solve diagnostic and therapeutic problems. For more advanced use in real medical applications it is necessary to find out mathematical models of physicians' decision-making processes. The acquisition of a formal model from text-based guidelines is a crucial point for development of decision support systems.
View Article and Find Full Text PDFMethods Inf Med
May 2006
EuroMISE Center, Institute of Computer Science AS CR, Pod Vodarenskou vezi 2, 182 07 Prague, Czech Republic.
Objectives: We present results from a secondary prevention trial of coronary heart disease (CHD) in the Czech male population from northern Bohemia with the history of myocardial infarction (MI) and high prevalence of metabolic syndrome. We compare several approaches to analyzing survival data from our study in terms of respective model assumptions.
Methods: While both the Cox and Weibull survival regression models assume proportionality of the hazard functions over time, in many instances this assumption appears incompatible with the data at hand.
Methods Inf Med
May 2006
EuroMISE Center, Dept. of Anthropology and Human Genetics, Faculty of Science, Charles University in Prague, Vinicná 7, 128 44 Prague 2, Czech Republic.
Objectives: Our research is a pilot study that specializes in the molecular genetic investigation of the TNNT2 gene in Czech patients with HCM/FHC disease. This study was initiated with exons 9 and 11 of TNNT2 because of their crucial role in the binding ability of cardiac troponin T to alpha-tropomyosin, and continued with analyses in other regions of the gene.
Methods: Hundred and eighty-one Czech probands with HCM/FHC were enrolled in this study.
Stud Health Technol Inform
April 2016
EuroMISE Center, Prague, Czech
Knowledge acquired in medicine is possible to represent by medical guidelines. The most important and nowadays mostly used for formalisation of guidelines is the GLIF (Guideline Interchange Format) model. Final model can be coded in XML (eXtensible Markup Language).
View Article and Find Full Text PDFStud Health Technol Inform
March 2005
EuroMISE Center - Cardio, Institute of Computer Science AS CR, Pod Vodarenskou vezi 2, 182 07, Prague 8, Czech Republic.
One of the important research tasks of the European Centre for Medical Informatics, Statistics and Epidemiology - Cardio (EuroMISE Centre - Cardio) is the applied research in the field of electronic health record design including electronic medical guidelines and intelligent systems for data mining and decision support. The research in the field of data storage and data acquisition was inspired by several European projects and standards, mostly by the I4C and TripleC projects. Based on experience gathered during cooperation in the TripleC project we have proposed a description of a flexible information storage model.
View Article and Find Full Text PDFInt J Med Inform
March 2005
EuroMISE Center--Cardio, Institute of Computer Science AS CR, Pod Vodarenskou vezi 2, 18207 Prague 8, Czech Republic. petr.hanzlicek@euromise
Development of the electronic health record architecture at the EuroMISE Center was inspired by existing European standards and several European projects. The developed EHR named MUDR implements a 3-layer architecture, using XML for communication between application layer and clients. A decision support module implementing the "1999 WHO/ISH Guidelines for the Management of Hypertension" is part of an application layer.
View Article and Find Full Text PDFStud Health Technol Inform
November 2004
EuroMISE Center, Institute of Computer Science of AS CR, Pod Vodárenskou vĕzí 2, 182 07 Prague 8, The Czech Republic.
This paper describes the method of detection of psychosomatic states of an operator. Understanding of these states can be used in closing of external human feedback. Detection uses psychological self-diagnostic questionnaires and is supported by experimentally gained data.
View Article and Find Full Text PDFExp Biol Med (Maywood)
May 2003
EuroMISE Center-Cardio and Institute of Hygienic Medicine and Epidemiology, 1st Medical Faculty, Charles University, Prague, Czech Republic.
Bilirubin, a major intravascular product of heme catabolism, is a potent antioxidant compound. Numerous studies have been published showing the relationship between serum bilirubin levels and atherosclerosis. In the present investigation all the epidemiological studies available on the effect of serum bilirubin levels and atherosclerotic disease were analyzed.
View Article and Find Full Text PDFInt J Med Inform
June 1997
EuroMISE Center, Charles University and Academy of Sciences of Czech Republic, Prague, Czech Republic.
In medical decision problems it is very important to use the most relevant piece of information for decision making. We focus on a special case of diagnostic decision making when we can measure many symptoms and signs and we have to make diagnostic conclusions. We can state the problem as follows.
View Article and Find Full Text PDFInt J Med Inform
June 1997
EuroMISE Center of Charles University and Academy of Sciences, Prague, Czech Republic.
In epidemiological research the calculation of appropriate measures of disease frequency is the basis for a comparison of populations and, therefore, the identification of disease determinants. Two frequencies being compared can be combined into a single summary parameter that estimates the association between an exposure and a disease. This can be accomplished by calculating either the ratio of the measures of disease frequency for two populations which indicates how much more likely one population is to develop a disease than another, or the difference between the frequencies which indicates how much greater the frequency of a disease is in one population compared with the other.
View Article and Find Full Text PDFInt J Med Inform
June 1997
EuroMISE Center of Charles University and Academy of Sciences, Prague, Czech Republic.
In survival analysis, comparison of survival times between two groups of patients is often the goal. For this purpose, Mantel-Haenszel (or log-rank) test is usually used. This paper introduces a concrete example to illustrate similarities as well as differences among the statistical programs SAS, S-PLUS and STATISTICA, when performing Mantel-Haenszel test.
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