https://scholars.lib.ntu.edu.tw/handle/123456789/616126
標題: | 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 | 作者: | Liu, Nan Liu, Mingxuan Chen, Xinru Ning, Yilin Lee, Jin Wee Siddiqui, Fahad Javaid Saffari, Seyed Ehsan Ho, Andrew Fu Wah Shin, Sang Do MATTHEW HUEI-MING MA Tanaka, Hideharu Ong, Marcus Eng Hock |
關鍵字: | Interpretable machine learning; Out-of-hospital cardiac arrest; Return of spontaneous circulation; Score | 公開日期: | 六月-2022 | 出版社: | ELSEVIER | 卷: | 48 | 來源出版物: | EClinicalMedicine | 摘要: | 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 in Asian settings. We aimed to develop an interpretable prehospital ROSC (P-ROSC) score for ROSC prediction based on patients with OHCA in Asia. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/616126 | ISSN: | 25895370 | DOI: | 10.1016/j.eclinm.2022.101422 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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