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  • Title: System for selecting relevant information for decision support.
    Author: Kalina J, Seidl L, Zvára K, Grünfeldová H, Slovák D, Zvárová J.
    Journal: Stud Health Technol Inform; 2013; 186():83-7. PubMed ID: 23542973.
    Abstract:
    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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