Perspectives of machine learning applications in near future diagnostics

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