Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study

Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study

Summary: Background: Return of spontaneous circulation (ROSC) before arrival at the emergency department is an early indicator of successful resuscitation in out-of-hospital cardiac arrest (OHCA). Several ROSC prediction scores have been developed with European cohorts, with unclear applicability i...

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Bibliographic Details
Main Authors:	Nan Liu, Mingxuan Liu, Xinru Chen, Yilin Ning, Jin Wee Lee, Fahad Javaid Siddiqui, Seyed Ehsan Saffari, Andrew Fu Wah Ho, Sang Do Shin, Matthew Huei-Ming Ma, Hideharu Tanaka, Marcus Eng Hock Ong
Format:	Article
Language:	English
Published:	Elsevier 2022-06-01
Series:	EClinicalMedicine
Subjects:	Out-of-hospital cardiac arrest Return of spontaneous circulation Interpretable machine learning Score
Online Access:	http://www.sciencedirect.com/science/article/pii/S2589537022001523

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