Modeling Framework for Medical Data Semantic Transformations

16 pages•Published: June 4, 2018

Alexander Vodyaho, Nataly Zhukova, Dmitry Kurapeev and Mikhail Lushnov

Abstract

Nowadays inthe domain of modern information technologies there is an evident trend of wide usage of intel- ligent information systems (IS), where processing of incoming data is based on multiple semantic-oriented transformations. Model Driven Engineering approach is widely used for intelligent IS development. The effectiveness of this approach is defined by availability for developers sufficient number of domain oriented models, which describe the classes of solutions and suggest effective tools for model transformation. In the paper a model driven approach for development of intelligent IS is described. The main idea of the suggest- ed approach is an implementation of semantic oriented transformations. This approach was used by the authors for building real IS for different subject domains. The example of practical usage of the suggested approach for medical IS development is described.

Keyphrases: measurements processing and analyses, model driven approach for domain specific intelligent information system development, modeling framework, models semantic transformations

In: Oleg S. Pianykh, Alexey Neznanov, Sergei Kuznetsov, Jaume Baixeries and Svetla Boytcheva (editors). WDAM-2017. Workshop on Data Analysis in Medicine, vol 6, pages 67-82.

Links:	https://easychair.org/publications/paper/nkMz
	https://doi.org/10.29007/l2vs

BibTeX entry

@inproceedings{WDAM-2017:Modeling_Framework_Medical_Data,
  author    = {Alexander Vodyaho and Nataly Zhukova and Dmitry Kurapeev and Mikhail Lushnov},
  title     = {Modeling Framework for Medical Data Semantic Transformations},
  booktitle = {WDAM-2017. Workshop on Data Analysis in Medicine},
  editor    = {Oleg S. Pianykh and Alexey Neznanov and Sergei Kuznetsov and Jaume Baixeries and Svetla Boytcheva},
  series    = {Kalpa Publications in Computing},
  volume    = {6},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/nkMz},
  doi       = {10.29007/l2vs},
  pages     = {67-82},
  year      = {2018}}

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