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Feasibility Study of an Interactive Medical Diagnostic Wikipedia

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    0464681 - ÚTIA 2017 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
    Grim, Jiří
    Feasibility Study of an Interactive Medical Diagnostic Wikipedia.
    SPMS 2016 Stochastic and Physical Monitoring Systems. Prague: Czech Technical University, 2016, s. 31-45. ISBN 978-80-01-06040-7.
    [SPMS 2016 Stochastic and Physical Monitoring Systems. Prague - Dobřichovice (CZ), 20.06.2016-24.06.2016]
    Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
    Institucionální podpora: RVO:67985556
    Klíčová slova: Multivariate statistics * Medical diagnostics * Product mixtures * Incomplete data * Sequential classification * EM algorithm
    Kód oboru RIV: IN - Informatika
    http://library.utia.cas.cz/separaty/2016/RO/grim-0464681.pdf

    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.
    Trvalý link: http://hdl.handle.net/11104/0263972

     
     
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