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System for selecting relevant information for decision support

Jan Kalina, Libor Seidl, Karel Zvára, Hana Grünfeldová, Dalibor Slovák, Jana Zvárová

. 2013 ; () : 83-87.
. 2013 ; 186 () : 83-87.

Language English Country Netherlands

Persistent link   https://www.medvik.cz/link/bmc19023189

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.

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Literatura

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