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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| Autor Corporativo: | |
| Outros autores: | , , , , |
| Summary: | 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 |
| Idioma: | inglés |
| Publicado: |
2017
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| Subjects: | |
| Acceso en liña: | http://dx.doi.org/10.1088/1742-6596/881/1/012009 http://earchive.tpu.ru/handle/11683/43878 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656286 |