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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http://www.sciencedirect.com/science/article/pii/S2589537022001523

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