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Perspectives of machine learning applications in near future diagnostics

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dc.contributor.author SERYAKOV, A.
dc.date.accessioned 2019-10-10T09:48:15Z
dc.date.available 2019-10-10T09:48:15Z
dc.date.issued 2016
dc.identifier.citation SERYAKOV, A. Perspectives of machine learning applications in near future diagnostics. In: Health Technology Management. Book of abstracts: proc. of the 3rd intern. conf., October 6-17, 2016. Chişinău, 2016, p. 33. ISBN 978-9975-51-774-4. en_US
dc.identifier.isbn 978-9975-51-774-4
dc.identifier.uri http://repository.utm.md/handle/5014/4650
dc.description.abstract This fact gives the possibility for continues analyses of medical data and and as a consequence early detection of deviations from the normal state without meeting with medical doctor. However, there is still lack of algorithms, which will analyze this big amount of data fast enough and precise enough. The most developing and promising ideas are: neural networks, support vector machines, group method of data handling. en
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject machine learning applications en_US
dc.subject diagnostics en_US
dc.subject disease en_US
dc.subject aplicații în diagnostic en_US
dc.subject diagnostic en_US
dc.subject boli en_US
dc.title Perspectives of machine learning applications in near future diagnostics en_US
dc.type Article en_US


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