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...

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Detalles Bibliográficos
Autores principales: Cameron, James N, Comella, Andrea, Sutherland, Nigel, Brown, Adam J, Phan, Thanh G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
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

Internet

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

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