Saratov JOURNAL of Medical and Scientific Research

Preferance of computer technology for analytical support of large database of medical information systems

Year: 2013, volume 9 Issue: №4 Pages: 983-987
Heading: Health Service Organization Article type: Original article
Authors: Biryukov А.P., Vasiliev E.V., Dumansky S.М., Tikhonova О.A., Gert Ju.A., Kapitonova N.V.
Organization: State Scientific Research Center n.a. A.I. Burnasyan — Federal Medical Biophysical Center of Federal Medical Biological Agency

Aim: to study the use of intelligent technologies for analytical support of large databases of medical information systems. Material and methods. We used the techniques of object-oriented software design and database design. Results. Based on expert review of models and algorithms for analysis of clinical and epidemiological data and principles of knowledge representation in large-scale health information systems, data mining schema were implemented in the software package of the register of Research Center n.a. A. I. Burnazyan of Russia. Identified areas for effective implementation of abstract data model of EAV and procedures Data Maning for the design of database of biomedical registers. Conclusions. Using intelligent software platform that supports different sets of APIs and object models for different operations in different software environments, allows you to build and maintain an information system through the procedures of data biomedical processing.

1. Nil'sen P. Microsoft SQL Server 2005: Biblija pol'zovatelja / per. s angl. M.: Dialektika, 2008. 1232 s.; 2. Haritanh S., Kuin S. Microsoft SQL Server 2005: Analysis Services i MDX dlja professionalov / per. s angl. M.: Dialektika, 2008. 834 s.; 3. Alekseeva TV., Amiridi Ju.V., Dik V.V. Informacionnye analiticheskie sistemy. M.: MFPU «Sinergija», 2013. 384 s.; 4. Tumanov V. E., Maklakov S. V. Proektirovanie reljacionnyh hranilishh dannyh. M.: Dialog-MIFI, 2007. 333 s.; 5. Meek C, Hechrman D. Structure and Parameter Learning for Causal Independence and Causal Interaction Models // URL; 6. Programmno-matematicheskij kompleks Rossijskogo go-sudarstvennogo mediko-dozimetricheskogo registra / A. F. Cyb, V. K. Ivanov, S. A. Ajrapetov [i dr.] // Radiacija i risk. 1992. № 1. S. 71-93; 7. Azizova TV., Moseeva M.B., Osovec S. V, Sumi-na M.V Registr ostroj luchevoj bolezni, zaregistrirovannoj u rabotnikov predprijatija atomnoj promyshlennosti «Majak» // Med.-biol. i soc.-psihol. probl. bezopasnosti v chrezv. situacijah. 2011. №4. S. 14-19; 8. Ryzhenko R. Lichnyj opyt: istorija odnogo znakomstva s OLAP // CNews. URL.; 9. Meek C, Chickering D.M., Hechrman D. Autoregressive Tree Models for Time-Series Analysis// URL

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