Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram
por: Chang, Po-Cheng, et al.
Publicado: (2023) -
Individualized QT interval (QTi) is a powerful diagnostic tool in long QT syndrome: results from a large validation study
por: Robyns, Tomas, et al.
Publicado: (2023) -
Clinical Validation of Automated Corrected QT-Interval Measurements From a Single Lead Electrocardiogram Using a Novel Smartwatch
por: Mannhart, Diego, et al.
Publicado: (2022) -
Sex differences in long QT syndrome
por: Díez-Escuté, Nuria, et al.
Publicado: (2023) -
Association Between Dynamic Change of QT Interval and Long-Term Cardiovascular Outcomes: A Prospective Cohort Study
por: Ye, Min, et al.
Publicado: (2021)