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Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease
The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary artery disease (CAD). Data on the high prevalence of non-obstructive CAD among patients referred for coronary angiography are presented, which...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Russo |
| Publicado em: |
«FIRMA «SILICEA» LLC
2020-06-01
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| Colecção: | Российский кардиологический журнал |
| Assuntos: | |
| Acesso em linha: | https://russjcardiol.elpub.ru/jour/article/view/3802 |
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