Machine learning‐driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy

Abstract Aims In an era of evolving diagnostic possibilities, existing diagnostic systems are not fully sufficient to promptly recognize patients with early‐stage hypertrophic cardiomyopathy (HCM) without symptomatic and instrumental features. Considering the sudden death of HCM, developing a novel...

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Principais autores:	Shutong Liu, Peiyu Yuan, Youyang Zheng, Chunguang Guo, Yuqing Ren, Siyuan Weng, Yuyuan Zhang, Long Liu, Zhe Xing, Libo Wang, Xinwei Han
Formato:	Artigo
Idioma:	Inglês
Publicado:	Oxford University Press 2024-08-01
Series:	ESC Heart Failure
Assuntos:	Diagnostic model Hypertrophic cardiomyopathy Immune infiltration Machine learning
Acceso en liña:	https://doi.org/10.1002/ehf2.14762
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