Electrocardiogram-based artificial intelligence for the diagnosis of heart failure: a systematic review and meta-analysis.

Li, Xin-Mu; Gao, Xin-Yi; Tse, Gary; Hong, Shen-Da; Chen, Kang-Yin; Li, Guang-Ping; Liu, Tong

Li, Xin-Mu; Gao, Xin-Yi; Tse, Gary; Hong, Shen-Da; Chen, Kang-Yin; Li, Guang-Ping; Liu, Tong.

Afiliación

Li XM; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Gao XY; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Tse G; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Hong SD; Kent and Medway Medical School, Canterbury, United Kingdom.
Chen KY; National Institute of Health Data Science at Peking University, Peking University, Beijing, China.
Li GP; Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
Liu T; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.

J Geriatr Cardiol ; 19(12): 970-980, 2022 Dec 28.

Article en En | MEDLINE | ID: mdl-36632204

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Revista: J Geriatr Cardiol Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google