Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm...

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Detalles Bibliográficos
Autores principales: Kwon, Joon-myoung, Kim, Kyung-Hee, Jeon, Ki-Hyun, Kim, Hyue Mee, Kim, Min Jeong, Lim, Sung-Min, Song, Pil Sang, Park, Jinsik, Choi, Rak Kyeong, Oh, Byung-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Cardiology 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597456/
https://www.ncbi.nlm.nih.gov/pubmed/31074221
http://dx.doi.org/10.4070/kcj.2018.0446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597456/
https://www.ncbi.nlm.nih.gov/pubmed/31074221
http://dx.doi.org/10.4070/kcj.2018.0446

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