Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards

BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed to investigate the predictive accuracy of the DeepC...

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Detalles Bibliográficos
Autores principales: Cho, Kyung-Jae, Kim, Jung Soo, Lee, Dong Hyun, Lee, Sang‑Min, Song, Myung Jin, Lim, Sung Yoon, Cho, Young-Jae, Jo, You Hwan, Shin, Yunseob, Lee, Yeon Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481524/
https://www.ncbi.nlm.nih.gov/pubmed/37670324
http://dx.doi.org/10.1186/s13054-023-04609-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481524/
https://www.ncbi.nlm.nih.gov/pubmed/37670324
http://dx.doi.org/10.1186/s13054-023-04609-0

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