System for selecting relevant information for decision support

• Published in: Studies in health technology and informatics Vol. 186; p. 83
• Main Authors: Kalina, Jan, Seidl, Libor, Zvára, Karel, Grünfeldová, Hana, Slovák, Dalibor, Zvárová, Jana
• Format: Journal Article
• Language: English
• Published: Netherlands 2013
• Subjects: Algorithms; Artificial Intelligence; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted - methods; Internet; Pattern Recognition, Automated - methods; Software; User-Computer Interface
• ISSN: 0926-9630
• DOI: 10.3233/978-1-61499-240-0-83

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.