System for Selecting Relevant Information for Decision Support

0393963 - ÚI 2014 RIV NL eng C - Conference Paper (international conference)
Kalina, Jan - Seidl, L. - Zvára, K. - Grünfeldová, H. - Slovák, Dalibor - Zvárová, Jana
System for Selecting Relevant Information for Decision Support.
Data and Knowledge for Medical Decision Support. Amsterdam: IOS Press, 2013 - (Blobel, B.; Hasman, A.; Zvárová, J.), s. 83-87. Studies in Health Technology and Informatics, 186. ISBN 978-1-61499-239-4. ISSN 0926-9630.
[EFMI 2013 Special Topic Conference. Prague (CZ), 17.04.2013-19.04.2013]
Institutional support: RVO:67985807
Keywords : decision support system * web-service * information extraction * high-dimension * gene expression
Subject RIV: IN - Informatics, Computer Science

We implemented a prototype of a decision support system called SIR which has a form of a web-based classification service for diagnostic decision support. The system has the ability to select the most relevant variables and to learn a classification rule, which is guaranteed to be suitable also for high-dimensional measurements. The classification system can be useful for clinicians in primary care to support their decision-making tasks with relevant information extracted from any available clinical study. The implemented prototype was tested on a sample of patients in a cardiological study and performs an information extraction from a high-dimensional set containing both clinical and gene expression data.
Permanent Link: http://hdl.handle.net/11104/0222299