The evaluation of functional heart condition with machine learning algorithms; Journal of Physics: Conference Series; Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017)
| Parent link: | Journal of Physics: Conference Series Vol. 881 : Innovations in Non-Destructive Testing (SibTest 2017).— 2017.— [012009, 5 p.] |
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| Korporativna značnica: | |
| Drugi avtorji: | , , , , |
| Izvleček: | Title screen This 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. Режим доступа: по договору с организацией-держателем ресурса |
| Jezik: | angleščina |
| Izdano: |
2017
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| Teme: | |
| Online dostop: | http://dx.doi.org/10.1088/1742-6596/881/1/012009 http://earchive.tpu.ru/handle/11683/43878 |
| Format: | Elektronski Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656286 |