Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/43878
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dc.contributor.authorOverchuk, K. V.en
dc.contributor.authorLezhnina, Inna Alekseevnaen
dc.contributor.authorUvarov, Aleksandr Andreevichen
dc.contributor.authorPerchatkin, V. A.en
dc.contributor.authorLvova, A. B.en
dc.date.accessioned2017-11-08T09:07:40Z-
dc.date.available2017-11-08T09:07:40Z-
dc.date.issued2017-
dc.identifier.citationThe evaluation of functional heart condition with machine learning algorithms / K. V. Overchuk [et al.] // Journal of Physics: Conference Series. — 2017. — Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017) : International Conference, 27–30 June 2017, Novosibirsk, Russian Federation : [proceedings]. — [012009, 5 p.].en
dc.identifier.urihttp://earchive.tpu.ru/handle/11683/43878-
dc.description.abstractThis paper is considering the most suitable algorithms to build a classifier for evaluating of the functional heart condition with the ability to estimate the direction and progress of the patient's treatment. The cons and pros of algorithms was analyzed with respect to the problem posed. The most optimal solution has been given and justified.en
dc.language.isoenen
dc.publisherIOP Publishingru
dc.relation.ispartofJournal of Physics: Conference Series. Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017). — Bristol, 2017.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectфункциональное состояниеru
dc.subjectсердцеru
dc.subjectалгоритмыru
dc.subjectмашинное обучениеru
dc.subjectклассификаторыru
dc.titleThe evaluation of functional heart condition with machine learning algorithmsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.typeinfo:eu-repo/semantics/conferencePaperen
dcterms.audienceResearchesen
local.departmentНациональный исследовательский Томский политехнический университет (ТПУ)::Институт неразрушающего контроля (ИНК)::Кафедра промышленной и медицинской электроники (ПМЭ)ru
local.description.firstpage12009-
local.filepathhttp://dx.doi.org/10.1088/1742-6596/881/1/012009-
local.identifier.bibrecRU\TPU\network\22727-
local.identifier.colkeyRU\TPU\col\18719-
local.identifier.perskeyRU\TPU\pers\33635-
local.identifier.perskeyRU\TPU\pers\33729-
local.localtypeДокладru
local.volume8812017-
local.conference.nameInnovations in Non-Destructive Testing (SibTest 2017)-
local.conference.date2017-
dc.identifier.doi10.1088/1742-6596/881/1/012009-
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