Experimental database system for the vascular brain diseases research

Abstract

Event Abstract Back to Event Experimental database system for the vascular brain diseases research Petr Vcelak1*, Jiri Polivka1, Petr Maule1, Petr Kratochvil1 and Jana Kleckova1 1 University of West Bohemia, Czechia The main goal of the project is to create robust and universal database system. The system will be sophisticated in processing of heterogeneous multimedia medical data objects. A knowledge-based system using the database will be proposed. The system will also cover advanced searching according to a set of neurological diagnoses selection. There will be also implemented similarity searching system with possibility of latter involving new similarity measure methods. Medicine doctors can propose their own similarity measure methods for image data and other types of data. Implementation of proposed methods can be uploaded to the server where it will be processed over all targeted data. Finally the searching system can be easily adapted to reflect current doctor's needs. The database system will be used in medical research for displaying techniques of acute brain ischemia using CT or MR modality with mathematical processing of source data. Created database of imaging examinations will allow studying of crucial values and dependencies of particular parameters in high amount of examinations with clinical data correlations. Suggested project is not intended to be another imaging neurodatabase. The system will serve as a practical educational and diagnostic tool based on knowledge-comparison information access. It will also serve as an open on-line information base with fast searching engine suitable for scientific and research works concerning in neuroscience. Solution will cover actual design and implementation methods of complex multimedia databases, its representation in web environment, remote managing and content updating. There will be used actual methods for context-oriented searching and intelligent questioning of knowledge-based system. Actual techniques will be also used for representation of functional relations between neurological diagnoses and particular types of medical examinations. All actual medical requests and research findings will be fully respected. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Poster Presentation Topic: General neuroinformatics Citation: Vcelak P, Polivka J, Maule P, Kratochvil P and Kleckova J (2019). Experimental database system for the vascular brain diseases research. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.002 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 May 2009; Published Online: 09 May 2019. * Correspondence: Petr Vcelak, University of West Bohemia, Pilsen, Czechia, vcelak@kiv.zcu.cz Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Petr Vcelak Jiri Polivka Petr Maule Petr Kratochvil Jana Kleckova Google Petr Vcelak Jiri Polivka Petr Maule Petr Kratochvil Jana Kleckova Google Scholar Petr Vcelak Jiri Polivka Petr Maule Petr Kratochvil Jana Kleckova PubMed Petr Vcelak Jiri Polivka Petr Maule Petr Kratochvil Jana Kleckova Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.