The diagnostic value of electrocardiogram-based machine learning in long QT syndrome: a systematic review and meta-analysis

INTRODUCTION: To perform a meta-analysis to discover the performance of ML algorithms in identifying Congenital long QT syndrome (LQTS). METHODS: The searched databases included Cochrane, EMBASE, Web of Science, and PubMed. Our study considered all English-language studies that reported the detectio...

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Detalles Bibliográficos
Autores principales: Wu, Min-Juan, Wang, Wen-Qin, Zhang, Wei, Li, Jun-Hua, Zhang, Xing-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282180/
https://www.ncbi.nlm.nih.gov/pubmed/37351282
http://dx.doi.org/10.3389/fcvm.2023.1172451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282180/
https://www.ncbi.nlm.nih.gov/pubmed/37351282
http://dx.doi.org/10.3389/fcvm.2023.1172451

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