Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

On the Construction of Intelligent Diagnostic System Cognitive Images Based

Authors
Boris Kobrinskii
Corresponding Author
Boris Kobrinskii
Available Online May 2016.
DOI
10.2991/itsmssm-16.2016.74How to use a DOI?
Keywords
Knowledge engineering; cognitive imaging; cognitive linguistic-and-imaging models; frame; ontology; visual imaginative indicator; intelligent system; medicine diagnostic; hereditary diseases
Abstract

In intelligent medical systems traditional logical-and-linguistic models do not provide a comparison between expert cognitive performance and in linguistic form of display holistic visual images of the disease in knowledge base. Possible decision may be to build a hybrids linguistic and image frame or ontological models that integrate are qualitative and visual imaginative indicators for the formal representation of diagnostically important clinical manifestations of disease. In this regard, the questions represent different images as an image visual sequences, options to include them in the knowledge and principles of the hybrid logic-and-linguistic-and-image expert system

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
10.2991/itsmssm-16.2016.74How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Boris Kobrinskii
PY  - 2016/05
DA  - 2016/05
TI  - On the Construction of Intelligent Diagnostic System Cognitive Images Based
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 366
EP  - 371
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.74
DO  - 10.2991/itsmssm-16.2016.74
ID  - Kobrinskii2016/05
ER  -