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Non-hyperaemic assessment of coronary ischaemia: application of machine learning techniques
AIMS: Hyperaemic and non-hyperaemic pressure ratios (NHPR) are routinely used to identify significant coronary lesions. Machine learning (ML) techniques may help better understand these indices and guide future practice. This study assessed the ability of a purpose-built ML algorithm to classify cor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779890/ https://www.ncbi.nlm.nih.gov/pubmed/36710902 http://dx.doi.org/10.1093/ehjdh/ztac050 |