Cerebrovascular Diseases Research Based on Heterogeneous Medical Data Mining and Knowledge Base

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00503996" target="_blank" >RIV/49777513:23520/10:00503996 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11140/10:10129600

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Cerebrovascular Diseases Research Based on Heterogeneous Medical Data Mining and Knowledge Base

Original language description

The cerebrovascular diseases research are based on de-identified real patient's data received from a collaborating centre. The goal of research is to take advantage of heterogeneous medical data relationships. Medical data relationships leads to get moredata mining facilities in studying of dependencies and crucial values of parameters in a huge volume of real imaging examinations with clinical and therapeutic data. There are lot of difficulties and security issues when providing research on medical data. Medical data and research results in the knowledge base should notable contribute to give a solution to a complex of cerebrovascular diseases problem. The knowledge base and de-identified real patient data can be used in a practical education and asa diagnostic tool.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ICITST-2010

ISBN

978-0-9564263-6-9

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

345-350

Publisher name

Infonomics Society

Place of publication

London

Event location

London

Event date

Nov 8, 2010

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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