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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

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