Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

BACKGROUND: Cardiac arrest is the most serious death-related event in intensive care units (ICUs), but it is not easily predicted because of the complex and time-dependent data characteristics of intensive care patients. Given the complexity and time dependence of ICU data, deep learning–based metho...

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Detalles Bibliográficos
Autores principales: Kim, Junetae, Park, Yu Rang, Lee, Jeong Hoon, Lee, Jae-Ho, Kim, Young-Hak, Huh, Jin Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113801/
https://www.ncbi.nlm.nih.gov/pubmed/32186517
http://dx.doi.org/10.2196/16349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113801/
https://www.ncbi.nlm.nih.gov/pubmed/32186517
http://dx.doi.org/10.2196/16349

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