Machine learning-based analysis of regional differences in out-of-hospital cardiopulmonary arrest outcomes and resuscitation interventions in Japan

Refining out-of-hospital cardiopulmonary arrest (OHCA) resuscitation protocols for local emergency practices is vital. The lack of comprehensive evaluation methods for individualized protocols impedes targeted improvements. Thus, we employed machine learning to assess emergency medical service (EMS)...

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Detalles Bibliográficos
Autores principales: Kawai, Yasuyuki, Yamamoto, Koji, Miyazaki, Keita, Asai, Hideki, Fukushima, Hidetada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518013/
https://www.ncbi.nlm.nih.gov/pubmed/37741881
http://dx.doi.org/10.1038/s41598-023-43210-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518013/
https://www.ncbi.nlm.nih.gov/pubmed/37741881
http://dx.doi.org/10.1038/s41598-023-43210-x

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