Feasibility Study of an Interactive Medical Diagnostic Wikipedia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00464681" target="_blank" >RIV/67985556:_____/16:00464681 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/16:00049988
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Feasibility Study of an Interactive Medical Diagnostic Wikipedia
Original language description
Considering different application possibilities of product distribution mixtures we have proposed three formal tools in the last years, which can be used to accumulate decision-making know-how from particular diagnostic cases. First, we have developed a structural mixture model to estimate multidimensional probability distributions from incomplete and possibly weighted data vectors. Second, we have shown that the estimated product mixture can be used as a knowledge base for the Probabilistic Expert System (PES) to infer conclusions from definite or even uncertain input information. Finally we have shown that, by using product mixtures, we can exactly optimize sequential decision-making by means of the Shannon formula of conditional informativity. We combine the above statistical tools in the framework of an interactive open-access medical diagnostic system with automatic accumulation of decision-making knowledge.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2016 Stochastic and Physical Monitoring Systems
ISBN
978-80-01-06040-7
ISSN
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e-ISSN
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Number of pages
15
Pages from-to
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Publisher name
Czech Technical University
Place of publication
Prague
Event location
Prague - Dobřichovice
Event date
Jun 20, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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