Název:
Feasibility Study of an Interactive Medical Diagnostic Wikipedia
Autoři:
Grim, Jiří Typ dokumentu: Příspěvky z konference Konference/Akce: SPMS 2016 Stochastic and Physical Monitoring Systems, Prague - Dobřichovice (CZ), 2016-06-20 / 2016-06-24
Rok:
2016
Jazyk:
eng
Abstrakt: 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.
Klíčová slova:
EM algorithm; Incomplete data; Medical diagnostics; Multivariate statistics; Product mixtures; Sequential classification Číslo projektu: GA14-02652S (CEP), GA14-10911S (CEP) Poskytovatel projektu: GA ČR, GA ČR Zdrojový dokument: SPMS 2016 Stochastic and Physical Monitoring Systems, ISBN 978-80-01-06040-7