A machine learning-based score for precise echocardiographic assessment of cardiac remodelling in hypertensive young adults

AIMS: Accurate staging of hypertension-related cardiac changes, before the development of significant left ventricular hypertrophy, could help guide early prevention advice. We evaluated whether a novel semi-supervised machine learning approach could generate a clinically meaningful summary score of...

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Detalles Bibliográficos
Autores principales: Alsharqi, Maryam, Lapidaire, Winok, Iturria-Medina, Yasser, Xiong, Zhaohan, Williamson, Wilby, Mohamed, Afifah, Tan, Cheryl M J, Kitt, Jamie, Burchert, Holger, Fletcher, Andrew, Whitworth, Polly, Lewandowski, Adam J, Leeson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562347/
https://www.ncbi.nlm.nih.gov/pubmed/37818310
http://dx.doi.org/10.1093/ehjimp/qyad029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562347/
https://www.ncbi.nlm.nih.gov/pubmed/37818310
http://dx.doi.org/10.1093/ehjimp/qyad029

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