Development and Validation of a Machine Learning Model to Predict Post-dispatch Cancellation of Physician-staffed Rapid Car
Author:
Affiliation:
1. Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital
Publisher
The Jutendo Medical Journal
Link
https://www.jstage.jst.go.jp/article/jmj/70/3/70_JMJ23-0031-OA/_pdf
Reference19 articles.
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2. [2] Galvagno Jr SM, Sikorski R, Hirshon JM, et al: Helicopter emergency medical services for adults with major trauma. Cochrane Database Syst Rev, 2015; 2015: CD009228.
3. [3] Harthi N, Goodacre S, Sampson F, Alharbi R: Research priorities for prehospital care of older patients with injuries: scoping review. Age Ageing, 2022; 51: afac108.
4. [4] von Vopelius-Feldt J, Morris RW, Benger J: The effect of prehospital critical care on survival following out-of-hospital cardiac arrest: A prospective observational study. Resuscitation, 2020; 146: 178-187.
5. [5] Yoshioka Y, Gamo M, Yoneda R, et al: A rapid response-type doctor car system shortened time to intravenous thrombolytic therapy for patients with ischemic stroke: an observational study at a single emergency center in Japan. Int J Emerg Med, 2020; 13: 35.
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