Cargando…
Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction
OBJECTIVE: Conventional risk stratification models for mortality of acute myocardial infarction (AMI) have potential limitations. This study aimed to develop and validate deep-learning-based risk stratification for the mortality of patients with AMI (DAMI). METHODS: The data of 22,875 AMI patients f...
Autores principales: | Kwon, Joon-myoung, Jeon, Ki-Hyun, Kim, Hyue Mee, Kim, Min Jeong, Lim, Sungmin, Kim, Kyung-Hee, Song, Pil Sang, Park, Jinsik, Choi, Rak Kyeong, Oh, Byung-Hee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822714/ https://www.ncbi.nlm.nih.gov/pubmed/31671144 http://dx.doi.org/10.1371/journal.pone.0224502 |
Ejemplares similares
-
High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea
por: Kwon, Joon-myoung, et al.
Publicado: (2019) -
Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
por: Kwon, Joon-myoung, et al.
Publicado: (2019) -
Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography
por: Cho, Younghoon, et al.
Publicado: (2020) -
Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography
por: Kwon, Joon‐Myoung, et al.
Publicado: (2020) -
Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography
por: Kwon, Joon-myoung, et al.
Publicado: (2020)