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• Содержание выпуска • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Software and Hardware for Distributed Systems and Supercomputers • • Mathematical Foundations of Programming • • Information Systems in Culture and Education • • Healthcare Information Systems • • Methods for Optimal Control and Control Theory • • Mathematical Modelling •
Healthcare Information Systems
Responsible for the Section: candidate of technical Sciences Yadulla Guliev
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper, and the reference to the full-text
PDF
.
Article # 22_2018
19
p.
PDF |
submitted on 29th
Aug 2018 displayed on
website on 28th
Nov
2018 Vladimir Malykh,
Aleksandr Mikheyev, Sergey Rudetskiy
Problem-oriented model of clinical data Bank
The paper considers the problem of building a
problem-oriented information model of the clinical data Bank (CDB).
The treatment and diagnostic process is proposed to be modeled by a
discrete finite-dimensional controlled process.
The principal nonobservability of the state vector of the control
object and its large dimension are noted. The necessity of
application of Big Data technologies for the construction of BCD is
grounded. Two relational models of clinical data are presented in a
process form. The author’s experience of using one of the presented
relational models is given. The perspective of the second relational
model, based on a relational DBMS with data storage by columns, is
noted. The results of the work will be useful to developers of
health information systems.(In Russian).
Key words: data collection, clinical data bank, relational
database, columns storage
database, medical information system. |
article citation |
http://psta.psiras.ru/read/psta2018_4_219-237.pdf |
DOI |
https://doi.org/10.25209/2079-3316-2018-9-4-219-237 |
• Artificial Intelligence, Intelligence Systems, Neural Networks • • Software and Hardware for Distributed Systems and Supercomputers • • Mathematical Foundations of Programming • • Information Systems in Culture and Education • • Healthcare Information Systems • • Methods for Optimal Control and Control Theory • • Mathematical Modelling •
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