Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

Abstract Background In-hospital cardiac arrest is a major burden in health care. Although several track-and-trigger systems are used to predict cardiac arrest, they often have unsatisfactory performances. We hypothesized that a deep-learning-based artificial intelligence algorithm (DLA) could effect...

Full description

Bibliographic Details
Main Authors: Joon-myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, Soo Youn Lee, Jinsik Park, Byung-Hee Oh
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Subjects:
Heart arrest
Deep learning
Electrocardiography
Artificial intelligence
Hospital rapid response team
Online Access:http://link.springer.com/article/10.1186/s13049-020-00791-0

Internet

http://link.springer.com/article/10.1186/s13049-020-00791-0

Similar Items