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Clinical Decision Support: Statistical Hopes and Challenges
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SYSNO ASEP 0457040 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Clinical Decision Support: Statistical Hopes and Challenges Author(s) Kalina, Jan (UIVT-O) RID, SAI, ORCID
Zvárová, Jana (UIVT-O) SAI, RID, ORCIDSource Title International Journal on Biomedicine and Healthcare - ISSN 1805-8698
Roč. 4, č. 1 (2016), s. 30-34Number of pages 5 s. Language eng - English Country CZ - Czech Republic Keywords decision support ; data mining ; multivariate statistics ; psychiatry ; information based medicine Subject RIV BB - Applied Statistics, Operational Research Institutional support UIVT-O - RVO:67985807 Annotation Clinical decision support systems and the challenges of constructing their classification rules by means of methods of multivariate statistics and/or data mining are presented. More details are given about two applications: the system for selecting relevant information for decision support and decision support in psychiatry. Finally the concept of information-based medicine is discussed. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2016
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